Zeszyty czasopisma

Tom 32 (2022): Zeszyt 2 (June 2022)
Towards Self-Healing Systems through Diagnostics, Fault-Tolerance and Design (Special section, pp. 171-269), Marcin Witczak and Ralf Stetter (Eds.)

Tom 32 (2022): Zeszyt 1 (March 2022)

Tom 31 (2021): Zeszyt 4 (December 2021)
Advanced Machine Learning Techniques in Data Analysis (special section, pp. 549-611), Maciej Kusy, Rafał Scherer, and Adam Krzyżak (Eds.)

Tom 31 (2021): Zeszyt 3 (September 2021)

Tom 31 (2021): Zeszyt 2 (June 2021)

Tom 31 (2021): Zeszyt 1 (March 2021)

Tom 30 (2020): Zeszyt 4 (December 2020)

Tom 30 (2020): Zeszyt 3 (September 2020)
Big Data and Signal Processing (Special section, pp. 399-473), Joanna Kołodziej, Sabri Pllana, Salvatore Vitabile (Eds.)

Tom 30 (2020): Zeszyt 2 (June 2020)

Tom 30 (2020): Zeszyt 1 (March 2020)

Tom 29 (2019): Zeszyt 4 (December 2019)
New Perspectives in Nonlinear and Intelligent Control (In Honor of Alexander P. Kurdyukov) (special section, pp. 629-712), Julio B. Clempner, Enso Ikonen, Alexander P. Kurdyukov (Eds.)

Tom 29 (2019): Zeszyt 3 (September 2019)
Information Technology for Systems Research (special section, pp. 427-515), Piotr Kulczycki, Janusz Kacprzyk, László T. Kóczy, Radko Mesiar (Eds.)

Tom 29 (2019): Zeszyt 2 (June 2019)
Advances in Complex Cloud and Service Oriented Computing (special section, pp. 213-274), Anna Kobusińska, Ching-Hsien Hsu, Kwei-Jay Lin (Eds.)

Tom 29 (2019): Zeszyt 1 (March 2019)
Exploring Complex and Big Data (special section, pp. 7-91), Johann Gamper, Robert Wrembel (Eds.)

Tom 28 (2018): Zeszyt 4 (December 2018)

Tom 28 (2018): Zeszyt 3 (September 2018)

Tom 28 (2018): Zeszyt 2 (June 2018)
Advanced Diagnosis and Fault-Tolerant Control Methods (special section, pp. 233-333), Vicenç Puig, Dominique Sauter, Christophe Aubrun, Horst Schulte (Eds.)

Tom 28 (2018): Zeszyt 1 (March 2018)
Zeszyts in Parameter Identification and Control (special section, pp. 9-122), Abdel Aitouche (Ed.)

Tom 27 (2017): Zeszyt 4 (December 2017)

Tom 27 (2017): Zeszyt 3 (September 2017)
Systems Analysis: Modeling and Control (special section, pp. 457-499), Vyacheslav Maksimov and Boris Mordukhovich (Eds.)

Tom 27 (2017): Zeszyt 2 (June 2017)

Tom 27 (2017): Zeszyt 1 (March 2017)

Tom 26 (2016): Zeszyt 4 (December 2016)

Tom 26 (2016): Zeszyt 3 (September 2016)

Tom 26 (2016): Zeszyt 2 (June 2016)

Tom 26 (2016): Zeszyt 1 (March 2016)

Tom 25 (2015): Zeszyt 4 (December 2015)
Special issue: Complex Problems in High-Performance Computing Systems, Editors: Mauro Iacono, Joanna Kołodziej

Tom 25 (2015): Zeszyt 3 (September 2015)

Tom 25 (2015): Zeszyt 2 (June 2015)

Tom 25 (2015): Zeszyt 1 (March 2015)
Safety, Fault Diagnosis and Fault Tolerant Control in Aerospace Systems, Silvio Simani, Paolo Castaldi (Eds.)

Tom 24 (2014): Zeszyt 4 (December 2014)

Tom 24 (2014): Zeszyt 3 (September 2014)
Modelling and Simulation of High Performance Information Systems (special section, pp. 453-566), Pavel Abaev, Rostislav Razumchik, Joanna Kołodziej (Eds.)

Tom 24 (2014): Zeszyt 2 (June 2014)
Signals and Systems (special section, pp. 233-312), Ryszard Makowski and Jan Zarzycki (Eds.)

Tom 24 (2014): Zeszyt 1 (March 2014)
Selected Problems of Biomedical Engineering (special section, pp. 7 - 63), Marek Kowal and Józef Korbicz (Eds.)

Tom 23 (2013): Zeszyt 4 (December 2013)

Tom 23 (2013): Zeszyt 3 (September 2013)

Tom 23 (2013): Zeszyt 2 (June 2013)

Tom 23 (2013): Zeszyt 1 (March 2013)

Tom 22 (2012): Zeszyt 4 (December 2012)
Hybrid and Ensemble Methods in Machine Learning (special section, pp. 787 - 881), Oscar Cordón and Przemysław Kazienko (Eds.)

Tom 22 (2012): Zeszyt 3 (September 2012)

Tom 22 (2012): Zeszyt 2 (June 2012)
Analysis and Control of Spatiotemporal Dynamic Systems (special section, pp. 245 - 326), Dariusz Uciński and Józef Korbicz (Eds.)

Tom 22 (2012): Zeszyt 1 (March 2012)
Advances in Control and Fault-Tolerant Systems (special issue), Józef Korbicz, Didier Maquin and Didier Theilliol (Eds.)

Tom 21 (2011): Zeszyt 4 (December 2011)

Tom 21 (2011): Zeszyt 3 (September 2011)
Zeszyts in Advanced Control and Diagnosis (special section, pp. 423 - 486), Vicenç Puig and Marcin Witczak (Eds.)

Tom 21 (2011): Zeszyt 2 (June 2011)
Efficient Resource Management for Grid-Enabled Applications (special section, pp. 219 - 306), Joanna Kołodziej and Fatos Xhafa (Eds.)

Tom 21 (2011): Zeszyt 1 (March 2011)
Semantic Knowledge Engineering (special section, pp. 9 - 95), Grzegorz J. Nalepa and Antoni Ligęza (Eds.)

Tom 20 (2010): Zeszyt 4 (December 2010)

Tom 20 (2010): Zeszyt 3 (September 2010)

Tom 20 (2010): Zeszyt 2 (June 2010)

Tom 20 (2010): Zeszyt 1 (March 2010)
Computational Intelligence in Modern Control Systems (special section, pp. 7 - 84), Józef Korbicz and Dariusz Uciński (Eds.)

Tom 19 (2009): Zeszyt 4 (December 2009)
Robot Control Theory (special section, pp. 519 - 588), Cezary Zieliński (Ed.)

Tom 19 (2009): Zeszyt 3 (September 2009)
Verified Methods: Applications in Medicine and Engineering (special issue), Andreas Rauh, Ekaterina Auer, Eberhard P. Hofer and Wolfram Luther (Eds.)

Tom 19 (2009): Zeszyt 2 (June 2009)

Tom 19 (2009): Zeszyt 1 (March 2009)

Tom 18 (2008): Zeszyt 4 (December 2008)
Zeszyts in Fault Diagnosis and Fault Tolerant Control (special issue), Józef Korbicz and Dominique Sauter (Eds.)

Tom 18 (2008): Zeszyt 3 (September 2008)
Selected Problems of Computer Science and Control (special issue), Krzysztof Gałkowski, Eric Rogers and Jan Willems (Eds.)

Tom 18 (2008): Zeszyt 2 (June 2008)
Selected Topics in Biological Cybernetics (special section, pp. 117 - 170), Andrzej Kasiński and Filip Ponulak (Eds.)

Tom 18 (2008): Zeszyt 1 (March 2008)
Applied Image Processing (special issue), Anton Kummert and Ewaryst Rafajłowicz (Eds.)

Tom 17 (2007): Zeszyt 4 (December 2007)

Tom 17 (2007): Zeszyt 3 (September 2007)
Scientific Computation for Fluid Mechanics and Hyperbolic Systems (special issue), Jan Sokołowski and Eric Sonnendrücker (Eds.)

Tom 17 (2007): Zeszyt 2 (June 2007)

Tom 17 (2007): Zeszyt 1 (March 2007)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
2083-8492
Pierwsze wydanie
05 Apr 2007
Częstotliwość wydawania
4 razy w roku
Języki
Angielski

Wyszukiwanie

Tom 26 (2016): Zeszyt 1 (March 2016)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
2083-8492
Pierwsze wydanie
05 Apr 2007
Częstotliwość wydawania
4 razy w roku
Języki
Angielski

Wyszukiwanie

17 Artykułów
Otwarty dostęp

Positivity and stability of fractional descriptor time–varying discrete–time linear systems

Data publikacji: 31 Mar 2016
Zakres stron: 5 - 13

Abstrakt

Abstract

The Weierstrass–Kronecker theorem on the decomposition of the regular pencil is extended to fractional descriptor time-varying discrete-time linear systems. A method for computing solutions of fractional systems is proposed. Necessary and sufficient conditions for the positivity of these systems are established.

Słowa kluczowe

  • fractional system
  • descriptor system
  • time-varying system
  • positive system
  • discrete-time system
Otwarty dostęp

An integrodifferential approach to modeling, control, state estimation and optimization for heat transfer systems

Data publikacji: 31 Mar 2016
Zakres stron: 15 - 30

Abstrakt

Abstract

In this paper, control-oriented modeling approaches are presented for distributed parameter systems. These systems, which are in the focus of this contribution, are assumed to be described by suitable partial differential equations. They arise naturally during the modeling of dynamic heat transfer processes. The presented approaches aim at developing finite-dimensional system descriptions for the design of various open-loop, closed-loop, and optimal control strategies as well as state, disturbance, and parameter estimation techniques. Here, the modeling is based on the method of integrodifferential relations, which can be employed to determine accurate, finite-dimensional sets of state equations by using projection techniques. These lead to a finite element representation of the distributed parameter system. Where applicable, these finite element models are combined with finite volume representations to describe storage variables that are—with good accuracy—homogeneous over sufficiently large space domains. The advantage of this combination is keeping the computational complexity as low as possible. Under these prerequisites, real-time applicable control algorithms are derived and validated via simulation and experiment for a laboratory-scale heat transfer system at the Chair of Mechatronics at the University of Rostock. This benchmark system consists of a metallic rod that is equipped with a finite number of Peltier elements which are used either as distributed control inputs, allowing active cooling and heating, or as spatially distributed disturbance inputs.

Słowa kluczowe

  • heat transfer
  • predictive control
  • optimal control
  • state and disturbance estimation
  • distributed parameter systems
  • sensitivity analysis
Otwarty dostęp

Nonlinear analysis of vehicle control actuations based on controlled invariant sets

Data publikacji: 31 Mar 2016
Zakres stron: 31 - 43

Abstrakt

Abstract

In the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-squares programming method is applied. A practical computation technique is developed to calculate the maximum controlled invariant set of the system. The method calculates the maximum controlled invariant sets of the steering and braking control systems at various velocities and road conditions. Illustration examples show that, depending on the environments, different vehicle dynamic regions can be reached and stabilized by these controllers. The results can be applied to the theoretical basis of their interventions into the vehicle control system.

Słowa kluczowe

  • vehicle dynamics
  • sum-of-squares programming
  • Lyapunov method
Otwarty dostęp

Robust fault detection of singular LPV systems with multiple time–varying delays

Data publikacji: 31 Mar 2016
Zakres stron: 45 - 61

Abstrakt

Abstract

In this paper, the robust fault detection problem for LPV singular delayed systems in the presence of disturbances and actuator faults is considered. For both disturbance decoupling and actuator fault detection, an unknown input observer (UIO) is proposed. The aim is to compute a residual signal which has minimum sensitivity to disturbances while having maximum sensitivity to faults. Robustness to unknown inputs is formulated in the sense of the ℋ-norm by means of the bounded real lemma (BRL) for LPV delayed systems. In order to formulate fault sensitivity conditions, a reference model which characterizes the ideal residual behavior in a faulty situation is considered. The residual error with respect to this reference model is computed. Then, the maximization of the residual fault effect is converted to minimization of its effect on the residual error and is addressed by using the BRL. The compromise between the unknown input effect and the fault effect on the residual is translated into a multi-objective optimization problem with some LMI constraints. In order to show the efficiency and applicability of the proposed method, a part of the Barcelona sewer system is considered.

Słowa kluczowe

  • singular delayed LPV systems
  • fault detection
  • unknown input observer (UIO)
  • robustness
  • fault sensitivity
Otwarty dostęp

Efficient RGB–D data processing for feature–based self–localization of mobile robots

Data publikacji: 31 Mar 2016
Zakres stron: 63 - 79

Abstrakt

Abstract

The problem of position and orientation estimation for an active vision sensor that moves with respect to the full six degrees of freedom is considered. The proposed approach is based on point features extracted from RGB-D data. This work focuses on efficient point feature extraction algorithms and on methods for the management of a set of features in a single RGB-D data frame. While the fast, RGB-D-based visual odometry system described in this paper builds upon our previous results as to the general architecture, the important novel elements introduced here are aimed at improving the precision and robustness of the motion estimate computed from the matching point features of two RGB-D frames. Moreover, we demonstrate that the visual odometry system can serve as the front-end for a pose-based simultaneous localization and mapping solution. The proposed solutions are tested on publicly available data sets to ensure that the results are scientifically verifiable. The experimental results demonstrate gains due to the improved feature extraction and management mechanisms, whereas the performance of the whole navigation system compares favorably to results known from the literature.

Słowa kluczowe

  • visual odometry
  • simultaneous localization and mapping
  • RGB-D
  • tracking
  • point features
Otwarty dostęp

RGB–D terrain perception and dense mapping for legged robots

Data publikacji: 31 Mar 2016
Zakres stron: 81 - 97

Abstrakt

Abstract

This paper addresses the issues of unstructured terrain modeling for the purpose of navigation with legged robots. We present an improved elevation grid concept adopted to the specific requirements of a small legged robot with limited perceptual capabilities. We propose an extension of the elevation grid update mechanism by incorporating a formal treatment of the spatial uncertainty. Moreover, this paper presents uncertainty models for a structured light RGB-D sensor and a stereo vision camera used to produce a dense depth map. The model for the uncertainty of the stereo vision camera is based on uncertainty propagation from calibration, through undistortion and rectification algorithms, allowing calculation of the uncertainty of measured 3D point coordinates. The proposed uncertainty models were used for the construction of a terrain elevation map using the Videre Design STOC stereo vision camera and Kinect-like range sensors. We provide experimental verification of the proposed mapping method, and a comparison with another recently published terrain mapping method for walking robots.

Słowa kluczowe

  • RGB-D perception
  • elevation mapping
  • uncertainty
  • legged robots
Otwarty dostęp

Efficient generation of 3D surfel maps using RGB–D sensors

Data publikacji: 31 Mar 2016
Zakres stron: 99 - 122

Abstrakt

Abstract

The article focuses on the problem of building dense 3D occupancy maps using commercial RGB-D sensors and the SLAM approach. In particular, it addresses the problem of 3D map representations, which must be able both to store millions of points and to offer efficient update mechanisms. The proposed solution consists of two such key elements, visual odometry and surfel-based mapping, but it contains substantial improvements: storing the surfel maps in octree form and utilizing a frustum culling-based method to accelerate the map update step. The performed experiments verify the usefulness and efficiency of the developed system.

Słowa kluczowe

  • RGB-D
  • V-SLAM
  • surfel map
  • frustum culling
  • octree
Otwarty dostęp

Connections between object classification criteria using an ultrasonic bi–sonar system

Data publikacji: 31 Mar 2016
Zakres stron: 123 - 132

Abstrakt

Abstract

The paper presents connections between the criteria which make three types of objects possible to be recognized, namely, edges, planes and corners. These criteria can be applied while a binaural sonar system is used. It is shown that the criteria are specific forms of a general equation. The form of the equation depends on a single coefficient. In the paper, the meaning of this coefficient is discussed. The constructions of the arrangement of objects are presented and are bound with values of the coefficient.

Słowa kluczowe

  • ultrasonic range-finder
  • multi-reflection
  • bi-sonar system
Otwarty dostęp

Stability analysis and H control of discrete T–S fuzzy hyperbolic systems

Data publikacji: 31 Mar 2016
Zakres stron: 133 - 145

Abstrakt

Abstract

This paper focuses on the problem of constraint control for a class of discrete-time nonlinear systems. Firstly, a new discrete T–S fuzzy hyperbolic model is proposed to represent a class of discrete-time nonlinear systems. By means of the parallel distributed compensation (PDC) method, a novel asymptotic stabilizing control law with the “soft” constraint property is designed. The main advantage is that the proposed control method may achieve a small control amplitude. Secondly, for an uncertain discrete T–S fuzzy hyperbolic system with external disturbances, by the proposed control method, the robust stability and H performance are developed by using a Lyapunov function, and some sufficient conditions are established through seeking feasible solutions of some linear matrix inequalities (LMIs) to obtain several positive diagonally dominant (PDD) matrices. Finally, the validity and feasibility of the proposed schemes are demonstrated by a numerical example and a Van de Vusse one, and some comparisons of the discrete T–S fuzzy hyperbolic model with the discrete T–S fuzzy linear one are also given to illustrate the advantage of our approach.

Słowa kluczowe

  • discrete T–S fuzzy hyperbolic model
  • parallel distributed compensation (PDC)
  • positive diagonally dominant (PDD) matrices
  • robust stability
Otwarty dostęp

A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

Data publikacji: 31 Mar 2016
Zakres stron: 147 - 160

Abstrakt

Abstract

BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment. We propose a mathematical model that takes into account several factors such as the peer distance, communication delays, and file fragment availability in a future period also by using a neural network module designed to model the behaviour of the peers. The ensemble comprising the proposed mathematical model and a neural network provides a solution for choosing the file fragments that have to be spread first, in order to ensure their continuous availability, taking into account that some peers will disconnect.

Słowa kluczowe

  • P2P model
  • neural network
  • wavelet
  • diffusion
  • file sharing
Otwarty dostęp

Adaptive predictions of the euro/złoty currency exchange rate using state space wavelet networks and forecast combinations

Data publikacji: 31 Mar 2016
Zakres stron: 161 - 173

Abstrakt

Abstract

The paper considers the forecasting of the euro/Polish złoty (EUR/PLN) spot exchange rate by applying state space wavelet network and econometric forecast combination models. Both prediction methods are applied to produce one-trading-day-ahead forecasts of the EUR/PLN exchange rate. The paper presents the general state space wavelet network and forecast combination models as well as their underlying principles. The state space wavelet network model is, in contrast to econometric forecast combinations, a non-parametric prediction technique which does not make any distributional assumptions regarding the underlying input variables. Both methods can be used as forecasting tools in portfolio investment management, asset valuation, IT security and integrated business risk intelligence in volatile market conditions.

Słowa kluczowe

  • currency exchange rate
  • artificial intelligence
  • state space wavelet network
  • Metropolis Monte Carlo
  • forecast combinations
  • data generating process
Otwarty dostęp

A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier

Data publikacji: 31 Mar 2016
Zakres stron: 175 - 189

Abstrakt

Abstract

Nowadays, multiclassifier systems (MCSs) are being widely applied in various machine learning problems and in many different domains. Over the last two decades, a variety of ensemble systems have been developed, but there is still room for improvement. This paper focuses on developing competence and interclass cross-competence measures which can be applied as a method for classifiers combination. The cross-competence measure allows an ensemble to harness pieces of information obtained from incompetent classifiers instead of removing them from the ensemble. The cross-competence measure originally determined on the basis of a validation set (static mode) can be further easily updated using additional feedback information on correct/incorrect classification during the recognition process (dynamic mode). The analysis of computational and storage complexity of the proposed method is presented. The performance of the MCS with the proposed cross-competence function was experimentally compared against five reference MCSs and one reference MCS for static and dynamic modes, respectively. Results for the static mode show that the proposed technique is comparable with the reference methods in terms of classification accuracy. For the dynamic mode, the system developed achieves the highest classification accuracy, demonstrating the potential of the MCS for practical applications when feedback information is available.

Słowa kluczowe

  • multiclassifier
  • cross-competence measure
  • confusion matrix
  • feedback information
Otwarty dostęp

Using the one–versus–rest strategy with samples balancing to improve pairwise coupling classification

Data publikacji: 31 Mar 2016
Zakres stron: 191 - 201

Abstrakt

Abstract

The simplest classification task is to divide a set of objects into two classes, but most of the problems we find in real life applications are multi-class. There are many methods of decomposing such a task into a set of smaller classification problems involving two classes only. Among the methods, pairwise coupling proposed by Hastie and Tibshirani (1998) is one of the best known. Its principle is to separate each pair of classes ignoring the remaining ones. Then all objects are tested against these classifiers and a voting scheme is applied using pairwise class probability estimates in a joint probability estimate for all classes. A closer look at the pairwise strategy shows the problem which impacts the final result. Each binary classifier votes for each object even if it does not belong to one of the two classes which it is trained on. This problem is addressed in our strategy. We propose to use additional classifiers to select the objects which will be considered by the pairwise classifiers. A similar solution was proposed by Moreira and Mayoraz (1998), but they use classifiers which are biased according to imbalance in the number of samples representing classes.

Słowa kluczowe

  • pairwise coupling
  • multi-class classification
  • problem decomposition
  • support vector machines
Otwarty dostęp

Note onset detection in musical signals via neural–network–based multi–ODF fusion

Data publikacji: 31 Mar 2016
Zakres stron: 203 - 213

Abstrakt

Abstract

The problem of note onset detection in musical signals is considered. The proposed solution is based on known approaches in which an onset detection function is defined on the basis of spectral characteristics of audio data. In our approach, several onset detection functions are used simultaneously to form an input vector for a multi-layer non-linear perceptron, which learns to detect onsets in the training data. This is in contrast to standard methods based on thresholding the onset detection functions with a moving average or a moving median. Our approach is also different from most of the current machine-learning-based solutions in that we explicitly use the onset detection functions as an intermediate representation, which may therefore be easily replaced with a different one, e.g., to match the characteristics of a particular audio data source. The results obtained for a database containing annotated onsets for 17 different instruments and ensembles are compared with state-of-the-art solutions.

Słowa kluczowe

  • note onset detection
  • onset detection function
  • multi-layer perceptron
  • multi-ODF fusion
  • NN-based fusion
Otwarty dostęp

The performance profile: A multi–criteria performance evaluation method for test–based problems

Data publikacji: 31 Mar 2016
Zakres stron: 215 - 229

Abstrakt

Abstract

In test-based problems, solutions produced by search algorithms are typically assessed using average outcomes of interactions with multiple tests. This aggregation leads to information loss, which can render different solutions apparently indifferent and hinder comparison of search algorithms. In this paper we introduce the performance profile, a generic, domain-independent, multi-criteria performance evaluation method that mitigates this problem by characterizing the performance of a solution by a vector of outcomes of interactions with tests of various difficulty. To demonstrate the usefulness of this gauge, we employ it to analyze the behavior of Othello and Iterated Prisoner’s Dilemma players produced by five (co)evolutionary algorithms as well as players known from previous publications. Performance profiles reveal interesting differences between the players, which escape the attention of the scalar performance measure of the expected utility. In particular, they allow us to observe that evolution with random sampling produces players coping well against the mediocre opponents, while the coevolutionary and temporal difference learning strategies play better against the high-grade opponents. We postulate that performance profiles improve our understanding of characteristics of search algorithms applied to arbitrary test-based problems, and can prospectively help design better methods for interactive domains.

Słowa kluczowe

  • coevolutionary algorithms
  • evolution strategies
  • Othello
  • Reversi
  • games
  • multi-objective analysis
Otwarty dostęp

Simultaneous routing and flow rate optimization in energy–aware computer networks

Data publikacji: 31 Mar 2016
Zakres stron: 231 - 243

Abstrakt

Abstract

The issue of energy-aware traffic engineering has become prominent in telecommunications industry in the last years. This paper presents a two-criteria network optimization problem, in which routing and bandwidth allocation are determined jointly, so as to minimize the amount of energy consumed by a telecommunication infrastructure and to satisfy given demands represented by a traffic matrix. A scalarization of the criteria is proposed and the choice of model parameters is discussed in detail. The model of power dissipation as a function of carried traffic in a typical software router is introduced. Then the problem is expressed in a form suitable for the mixed integer quadratic programming (MIQP) solver. The paper is concluded with a set of small, illustrative computational examples. Computed solutions are implemented in a testbed to validate the accuracy of energy consumption models and the correctness of the proposed traffic engineering algorithm.

Słowa kluczowe

  • MINLP
  • MIQP
  • network optimization
  • green networking
  • fairness
  • multi-criteria
Otwarty dostęp

Modelling DNA and RNA secondary structures using matrix insertion–deletion systems

Data publikacji: 31 Mar 2016
Zakres stron: 245 - 258

Abstrakt

Abstract

Insertion and deletion are operations that occur commonly in DNA processing and RNA editing. Since biological macromolecules can be viewed as symbols, gene sequences can be represented as strings and structures can be interpreted as languages. This suggests that the bio-molecular structures that occur at different levels can be theoretically studied by formal languages. In the literature, there is no unique grammar formalism that captures various bio-molecular structures. To overcome this deficiency, in this paper, we introduce a simple grammar model called the matrix insertion–deletion system, and using it we model several bio-molecular structures that occur at the intramolecular, intermolecular and RNA secondary levels.

Słowa kluczowe

  • bio-molecular structures
  • insertion–deletion systems
  • intermolecular
  • intramolecular
  • secondary structures
17 Artykułów
Otwarty dostęp

Positivity and stability of fractional descriptor time–varying discrete–time linear systems

Data publikacji: 31 Mar 2016
Zakres stron: 5 - 13

Abstrakt

Abstract

The Weierstrass–Kronecker theorem on the decomposition of the regular pencil is extended to fractional descriptor time-varying discrete-time linear systems. A method for computing solutions of fractional systems is proposed. Necessary and sufficient conditions for the positivity of these systems are established.

Słowa kluczowe

  • fractional system
  • descriptor system
  • time-varying system
  • positive system
  • discrete-time system
Otwarty dostęp

An integrodifferential approach to modeling, control, state estimation and optimization for heat transfer systems

Data publikacji: 31 Mar 2016
Zakres stron: 15 - 30

Abstrakt

Abstract

In this paper, control-oriented modeling approaches are presented for distributed parameter systems. These systems, which are in the focus of this contribution, are assumed to be described by suitable partial differential equations. They arise naturally during the modeling of dynamic heat transfer processes. The presented approaches aim at developing finite-dimensional system descriptions for the design of various open-loop, closed-loop, and optimal control strategies as well as state, disturbance, and parameter estimation techniques. Here, the modeling is based on the method of integrodifferential relations, which can be employed to determine accurate, finite-dimensional sets of state equations by using projection techniques. These lead to a finite element representation of the distributed parameter system. Where applicable, these finite element models are combined with finite volume representations to describe storage variables that are—with good accuracy—homogeneous over sufficiently large space domains. The advantage of this combination is keeping the computational complexity as low as possible. Under these prerequisites, real-time applicable control algorithms are derived and validated via simulation and experiment for a laboratory-scale heat transfer system at the Chair of Mechatronics at the University of Rostock. This benchmark system consists of a metallic rod that is equipped with a finite number of Peltier elements which are used either as distributed control inputs, allowing active cooling and heating, or as spatially distributed disturbance inputs.

Słowa kluczowe

  • heat transfer
  • predictive control
  • optimal control
  • state and disturbance estimation
  • distributed parameter systems
  • sensitivity analysis
Otwarty dostęp

Nonlinear analysis of vehicle control actuations based on controlled invariant sets

Data publikacji: 31 Mar 2016
Zakres stron: 31 - 43

Abstrakt

Abstract

In the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-squares programming method is applied. A practical computation technique is developed to calculate the maximum controlled invariant set of the system. The method calculates the maximum controlled invariant sets of the steering and braking control systems at various velocities and road conditions. Illustration examples show that, depending on the environments, different vehicle dynamic regions can be reached and stabilized by these controllers. The results can be applied to the theoretical basis of their interventions into the vehicle control system.

Słowa kluczowe

  • vehicle dynamics
  • sum-of-squares programming
  • Lyapunov method
Otwarty dostęp

Robust fault detection of singular LPV systems with multiple time–varying delays

Data publikacji: 31 Mar 2016
Zakres stron: 45 - 61

Abstrakt

Abstract

In this paper, the robust fault detection problem for LPV singular delayed systems in the presence of disturbances and actuator faults is considered. For both disturbance decoupling and actuator fault detection, an unknown input observer (UIO) is proposed. The aim is to compute a residual signal which has minimum sensitivity to disturbances while having maximum sensitivity to faults. Robustness to unknown inputs is formulated in the sense of the ℋ-norm by means of the bounded real lemma (BRL) for LPV delayed systems. In order to formulate fault sensitivity conditions, a reference model which characterizes the ideal residual behavior in a faulty situation is considered. The residual error with respect to this reference model is computed. Then, the maximization of the residual fault effect is converted to minimization of its effect on the residual error and is addressed by using the BRL. The compromise between the unknown input effect and the fault effect on the residual is translated into a multi-objective optimization problem with some LMI constraints. In order to show the efficiency and applicability of the proposed method, a part of the Barcelona sewer system is considered.

Słowa kluczowe

  • singular delayed LPV systems
  • fault detection
  • unknown input observer (UIO)
  • robustness
  • fault sensitivity
Otwarty dostęp

Efficient RGB–D data processing for feature–based self–localization of mobile robots

Data publikacji: 31 Mar 2016
Zakres stron: 63 - 79

Abstrakt

Abstract

The problem of position and orientation estimation for an active vision sensor that moves with respect to the full six degrees of freedom is considered. The proposed approach is based on point features extracted from RGB-D data. This work focuses on efficient point feature extraction algorithms and on methods for the management of a set of features in a single RGB-D data frame. While the fast, RGB-D-based visual odometry system described in this paper builds upon our previous results as to the general architecture, the important novel elements introduced here are aimed at improving the precision and robustness of the motion estimate computed from the matching point features of two RGB-D frames. Moreover, we demonstrate that the visual odometry system can serve as the front-end for a pose-based simultaneous localization and mapping solution. The proposed solutions are tested on publicly available data sets to ensure that the results are scientifically verifiable. The experimental results demonstrate gains due to the improved feature extraction and management mechanisms, whereas the performance of the whole navigation system compares favorably to results known from the literature.

Słowa kluczowe

  • visual odometry
  • simultaneous localization and mapping
  • RGB-D
  • tracking
  • point features
Otwarty dostęp

RGB–D terrain perception and dense mapping for legged robots

Data publikacji: 31 Mar 2016
Zakres stron: 81 - 97

Abstrakt

Abstract

This paper addresses the issues of unstructured terrain modeling for the purpose of navigation with legged robots. We present an improved elevation grid concept adopted to the specific requirements of a small legged robot with limited perceptual capabilities. We propose an extension of the elevation grid update mechanism by incorporating a formal treatment of the spatial uncertainty. Moreover, this paper presents uncertainty models for a structured light RGB-D sensor and a stereo vision camera used to produce a dense depth map. The model for the uncertainty of the stereo vision camera is based on uncertainty propagation from calibration, through undistortion and rectification algorithms, allowing calculation of the uncertainty of measured 3D point coordinates. The proposed uncertainty models were used for the construction of a terrain elevation map using the Videre Design STOC stereo vision camera and Kinect-like range sensors. We provide experimental verification of the proposed mapping method, and a comparison with another recently published terrain mapping method for walking robots.

Słowa kluczowe

  • RGB-D perception
  • elevation mapping
  • uncertainty
  • legged robots
Otwarty dostęp

Efficient generation of 3D surfel maps using RGB–D sensors

Data publikacji: 31 Mar 2016
Zakres stron: 99 - 122

Abstrakt

Abstract

The article focuses on the problem of building dense 3D occupancy maps using commercial RGB-D sensors and the SLAM approach. In particular, it addresses the problem of 3D map representations, which must be able both to store millions of points and to offer efficient update mechanisms. The proposed solution consists of two such key elements, visual odometry and surfel-based mapping, but it contains substantial improvements: storing the surfel maps in octree form and utilizing a frustum culling-based method to accelerate the map update step. The performed experiments verify the usefulness and efficiency of the developed system.

Słowa kluczowe

  • RGB-D
  • V-SLAM
  • surfel map
  • frustum culling
  • octree
Otwarty dostęp

Connections between object classification criteria using an ultrasonic bi–sonar system

Data publikacji: 31 Mar 2016
Zakres stron: 123 - 132

Abstrakt

Abstract

The paper presents connections between the criteria which make three types of objects possible to be recognized, namely, edges, planes and corners. These criteria can be applied while a binaural sonar system is used. It is shown that the criteria are specific forms of a general equation. The form of the equation depends on a single coefficient. In the paper, the meaning of this coefficient is discussed. The constructions of the arrangement of objects are presented and are bound with values of the coefficient.

Słowa kluczowe

  • ultrasonic range-finder
  • multi-reflection
  • bi-sonar system
Otwarty dostęp

Stability analysis and H control of discrete T–S fuzzy hyperbolic systems

Data publikacji: 31 Mar 2016
Zakres stron: 133 - 145

Abstrakt

Abstract

This paper focuses on the problem of constraint control for a class of discrete-time nonlinear systems. Firstly, a new discrete T–S fuzzy hyperbolic model is proposed to represent a class of discrete-time nonlinear systems. By means of the parallel distributed compensation (PDC) method, a novel asymptotic stabilizing control law with the “soft” constraint property is designed. The main advantage is that the proposed control method may achieve a small control amplitude. Secondly, for an uncertain discrete T–S fuzzy hyperbolic system with external disturbances, by the proposed control method, the robust stability and H performance are developed by using a Lyapunov function, and some sufficient conditions are established through seeking feasible solutions of some linear matrix inequalities (LMIs) to obtain several positive diagonally dominant (PDD) matrices. Finally, the validity and feasibility of the proposed schemes are demonstrated by a numerical example and a Van de Vusse one, and some comparisons of the discrete T–S fuzzy hyperbolic model with the discrete T–S fuzzy linear one are also given to illustrate the advantage of our approach.

Słowa kluczowe

  • discrete T–S fuzzy hyperbolic model
  • parallel distributed compensation (PDC)
  • positive diagonally dominant (PDD) matrices
  • robust stability
Otwarty dostęp

A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

Data publikacji: 31 Mar 2016
Zakres stron: 147 - 160

Abstrakt

Abstract

BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment. We propose a mathematical model that takes into account several factors such as the peer distance, communication delays, and file fragment availability in a future period also by using a neural network module designed to model the behaviour of the peers. The ensemble comprising the proposed mathematical model and a neural network provides a solution for choosing the file fragments that have to be spread first, in order to ensure their continuous availability, taking into account that some peers will disconnect.

Słowa kluczowe

  • P2P model
  • neural network
  • wavelet
  • diffusion
  • file sharing
Otwarty dostęp

Adaptive predictions of the euro/złoty currency exchange rate using state space wavelet networks and forecast combinations

Data publikacji: 31 Mar 2016
Zakres stron: 161 - 173

Abstrakt

Abstract

The paper considers the forecasting of the euro/Polish złoty (EUR/PLN) spot exchange rate by applying state space wavelet network and econometric forecast combination models. Both prediction methods are applied to produce one-trading-day-ahead forecasts of the EUR/PLN exchange rate. The paper presents the general state space wavelet network and forecast combination models as well as their underlying principles. The state space wavelet network model is, in contrast to econometric forecast combinations, a non-parametric prediction technique which does not make any distributional assumptions regarding the underlying input variables. Both methods can be used as forecasting tools in portfolio investment management, asset valuation, IT security and integrated business risk intelligence in volatile market conditions.

Słowa kluczowe

  • currency exchange rate
  • artificial intelligence
  • state space wavelet network
  • Metropolis Monte Carlo
  • forecast combinations
  • data generating process
Otwarty dostęp

A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier

Data publikacji: 31 Mar 2016
Zakres stron: 175 - 189

Abstrakt

Abstract

Nowadays, multiclassifier systems (MCSs) are being widely applied in various machine learning problems and in many different domains. Over the last two decades, a variety of ensemble systems have been developed, but there is still room for improvement. This paper focuses on developing competence and interclass cross-competence measures which can be applied as a method for classifiers combination. The cross-competence measure allows an ensemble to harness pieces of information obtained from incompetent classifiers instead of removing them from the ensemble. The cross-competence measure originally determined on the basis of a validation set (static mode) can be further easily updated using additional feedback information on correct/incorrect classification during the recognition process (dynamic mode). The analysis of computational and storage complexity of the proposed method is presented. The performance of the MCS with the proposed cross-competence function was experimentally compared against five reference MCSs and one reference MCS for static and dynamic modes, respectively. Results for the static mode show that the proposed technique is comparable with the reference methods in terms of classification accuracy. For the dynamic mode, the system developed achieves the highest classification accuracy, demonstrating the potential of the MCS for practical applications when feedback information is available.

Słowa kluczowe

  • multiclassifier
  • cross-competence measure
  • confusion matrix
  • feedback information
Otwarty dostęp

Using the one–versus–rest strategy with samples balancing to improve pairwise coupling classification

Data publikacji: 31 Mar 2016
Zakres stron: 191 - 201

Abstrakt

Abstract

The simplest classification task is to divide a set of objects into two classes, but most of the problems we find in real life applications are multi-class. There are many methods of decomposing such a task into a set of smaller classification problems involving two classes only. Among the methods, pairwise coupling proposed by Hastie and Tibshirani (1998) is one of the best known. Its principle is to separate each pair of classes ignoring the remaining ones. Then all objects are tested against these classifiers and a voting scheme is applied using pairwise class probability estimates in a joint probability estimate for all classes. A closer look at the pairwise strategy shows the problem which impacts the final result. Each binary classifier votes for each object even if it does not belong to one of the two classes which it is trained on. This problem is addressed in our strategy. We propose to use additional classifiers to select the objects which will be considered by the pairwise classifiers. A similar solution was proposed by Moreira and Mayoraz (1998), but they use classifiers which are biased according to imbalance in the number of samples representing classes.

Słowa kluczowe

  • pairwise coupling
  • multi-class classification
  • problem decomposition
  • support vector machines
Otwarty dostęp

Note onset detection in musical signals via neural–network–based multi–ODF fusion

Data publikacji: 31 Mar 2016
Zakres stron: 203 - 213

Abstrakt

Abstract

The problem of note onset detection in musical signals is considered. The proposed solution is based on known approaches in which an onset detection function is defined on the basis of spectral characteristics of audio data. In our approach, several onset detection functions are used simultaneously to form an input vector for a multi-layer non-linear perceptron, which learns to detect onsets in the training data. This is in contrast to standard methods based on thresholding the onset detection functions with a moving average or a moving median. Our approach is also different from most of the current machine-learning-based solutions in that we explicitly use the onset detection functions as an intermediate representation, which may therefore be easily replaced with a different one, e.g., to match the characteristics of a particular audio data source. The results obtained for a database containing annotated onsets for 17 different instruments and ensembles are compared with state-of-the-art solutions.

Słowa kluczowe

  • note onset detection
  • onset detection function
  • multi-layer perceptron
  • multi-ODF fusion
  • NN-based fusion
Otwarty dostęp

The performance profile: A multi–criteria performance evaluation method for test–based problems

Data publikacji: 31 Mar 2016
Zakres stron: 215 - 229

Abstrakt

Abstract

In test-based problems, solutions produced by search algorithms are typically assessed using average outcomes of interactions with multiple tests. This aggregation leads to information loss, which can render different solutions apparently indifferent and hinder comparison of search algorithms. In this paper we introduce the performance profile, a generic, domain-independent, multi-criteria performance evaluation method that mitigates this problem by characterizing the performance of a solution by a vector of outcomes of interactions with tests of various difficulty. To demonstrate the usefulness of this gauge, we employ it to analyze the behavior of Othello and Iterated Prisoner’s Dilemma players produced by five (co)evolutionary algorithms as well as players known from previous publications. Performance profiles reveal interesting differences between the players, which escape the attention of the scalar performance measure of the expected utility. In particular, they allow us to observe that evolution with random sampling produces players coping well against the mediocre opponents, while the coevolutionary and temporal difference learning strategies play better against the high-grade opponents. We postulate that performance profiles improve our understanding of characteristics of search algorithms applied to arbitrary test-based problems, and can prospectively help design better methods for interactive domains.

Słowa kluczowe

  • coevolutionary algorithms
  • evolution strategies
  • Othello
  • Reversi
  • games
  • multi-objective analysis
Otwarty dostęp

Simultaneous routing and flow rate optimization in energy–aware computer networks

Data publikacji: 31 Mar 2016
Zakres stron: 231 - 243

Abstrakt

Abstract

The issue of energy-aware traffic engineering has become prominent in telecommunications industry in the last years. This paper presents a two-criteria network optimization problem, in which routing and bandwidth allocation are determined jointly, so as to minimize the amount of energy consumed by a telecommunication infrastructure and to satisfy given demands represented by a traffic matrix. A scalarization of the criteria is proposed and the choice of model parameters is discussed in detail. The model of power dissipation as a function of carried traffic in a typical software router is introduced. Then the problem is expressed in a form suitable for the mixed integer quadratic programming (MIQP) solver. The paper is concluded with a set of small, illustrative computational examples. Computed solutions are implemented in a testbed to validate the accuracy of energy consumption models and the correctness of the proposed traffic engineering algorithm.

Słowa kluczowe

  • MINLP
  • MIQP
  • network optimization
  • green networking
  • fairness
  • multi-criteria
Otwarty dostęp

Modelling DNA and RNA secondary structures using matrix insertion–deletion systems

Data publikacji: 31 Mar 2016
Zakres stron: 245 - 258

Abstrakt

Abstract

Insertion and deletion are operations that occur commonly in DNA processing and RNA editing. Since biological macromolecules can be viewed as symbols, gene sequences can be represented as strings and structures can be interpreted as languages. This suggests that the bio-molecular structures that occur at different levels can be theoretically studied by formal languages. In the literature, there is no unique grammar formalism that captures various bio-molecular structures. To overcome this deficiency, in this paper, we introduce a simple grammar model called the matrix insertion–deletion system, and using it we model several bio-molecular structures that occur at the intramolecular, intermolecular and RNA secondary levels.

Słowa kluczowe

  • bio-molecular structures
  • insertion–deletion systems
  • intermolecular
  • intramolecular
  • secondary structures

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