<abstract xmlns="http://www.w3.org/1999/xhtml">This paper presents a numerical algorithm for determining the minimum dwell time constraint for switched linear ℋ∞ fault detection filters. When applying switched systems, ensuring the stability is a crucial target, which can be guaranteed, when we switch slowly enough between the subsystems, more precisely when the intervals between two consecutive switching instants, called dwell time, are large enough. The problem formulation is based on multiple Lyapunov functions and is expressed through a special form of linear matrix inequalities (LMIs), which include a nonlinear term of the dwell time. This represents a multivariable, time dependent optimization problem. As a result, the task cannot be treated as a simple feasibility problem involving a LMI solver as it is widely used in applications of the linear control. To solve these special LMIs, we propose a numerical algorithm, called 𝒯<italic>d</italic>-iteration, which combines the procedure of interval halving with an LMI solver. The algorithm implemented in MATLAB shows its applicability as well as suggest further benefits for the switched linear control and filter synthesis.</abstract>

School of Postgraduate Studies of Multidisciplinary Technical Sciences, Faculty of Technical Sciences

Department of Informatics Engineering, Faculty of Technical Sciences

Institute for Computer Science and Control, Hungarian Academy of Sciences

An Algorithm for the Calculation of the Dwell Time Constraint for Switched ℋ∞ Filters

<abstract xmlns="http://www.w3.org/1999/xhtml">This paper presents a model predictive control (MPC) for a differential-drive mobile robot (DDMR) based on the dynamic model. The robot’s mathematical model is nonlinear, which is why an input–output linearization technique is used, and, based on the obtained linear model, an MPC was developed. The predictive control law gains were acquired by minimizing a quadratic criterion. In addition, to enable better tuning of the obtained predictive controller gains, torques and settling time graphs were used. To show the efficiency of the proposed approach, some simulation results are provided.</abstract>

Laboratoire d’Automatique de Skikda (LAS)

Faculté de Technologie, Département de Génie Électrique

Model Predictive Control of a Differential-Drive Mobile Robot

<abstract xmlns="http://www.w3.org/1999/xhtml">In gas turbine process, the axial compressor is subjected to aerodynamic instabilities because of rotating stall and surge associated with bifurcation nonlinear behaviour. This paper presents a Genetic Algorithm and Particle Swarm Optimization (GA/PSO) of robust sliding mode controller in order to deal with this transaction between compressor characteristics, uncertainties and bifurcation behaviour. Firstly, robust theory based equivalent sliding mode control is developed via linear matrix inequality approach to achieve a robust sliding surface, then the GA/PSO optimization is introduced to find the optimal switching controller parameters with the aim of driving the variable speed axial compressor (VSAC) to the optimal operating point with minimum control effort. Since the impossibility of finding the model uncertainties and system characteristics, the adaptive design widely considered to be the most used strategy to deal with these problems. Simulation tests were conducted to confirm the effectiveness of the proposed controllers.</abstract>

Department of Petro-chemical and Process Engineering

GA/PSO Robust Sliding Mode Control of Aerodynamics in Gas Turbine

<abstract xmlns="http://www.w3.org/1999/xhtml">The approach adopted in this paper focuses on the faults prediction in asynchronous machines. The main goal is to explore interesting information regarding the diagnosis and prediction of electrical machines failures by the use of a Bayesian graphical model. The Bayesian forecasting model developed in this paper provides a posteriori probability for faults in each hierarchical level related to the breakdowns process. It has the advantage that it can give needed information’s for maintenance planning. A real industrial case study is presented in which the maintenance staff expertise has been used to identify the structure of the Bayesian network and completed by the parameters definition of the Bayesian network using historical file data of an induction motor. The robustness of the proposed methodology has also been tested. The results showed that the Bayesian network can be used for safety, reliability and planning applications.</abstract>

Laboratoire Systèmes Electromécaniques (LSELM),

A Bayesian Information System for Predicting Stator Faults in Induction Machines

<abstract xmlns="http://www.w3.org/1999/xhtml">These days a lot can be heard about special weapons which accelerate the projectile not based on the traditional, chemical energy release, but providing the muzzle velocity with the help of electromagnets. In English terminology, many descriptions can be read about these devices, referred to as “coilgun”. There are so many hobbyist and amateurs who make these devices <xref ref-type="bibr" rid="j_auseme-2018-0005_ref_001_w2aab3b7b4b1b6b1ab1ab1Aa">[1</xref>,<xref ref-type="bibr" rid="j_auseme-2018-0005_ref_002_w2aab3b7b4b1b6b1ab1ab2Aa">2]</xref> and publish their results on the internet <xref ref-type="bibr" rid="j_auseme-2018-0005_ref_003_w2aab3b7b4b1b6b1ab1ab3Aa">[3</xref>,<xref ref-type="bibr" rid="j_auseme-2018-0005_ref_004_w2aab3b7b4b1b6b1ab1ab4Aa">4]</xref>. The purpose of the project is dual. On one hand, features, advantages, disadvantages and the limits of the electromagnetically accelerated weapons can be found by building an experimental tool. On the other hand, it was intended to point out the fact that anybody can build such a tool using commercially available commercial components. Although the muzzle energy of the device presented in this paper is not more than 6.8J, but it can cause serious injury. The paper also points out that in a similar way, still not using special components, a weapon can be made with a larger (10-20J) muzzle energy.</abstract>

The Demonstration Model of an Electromagnetic Accelerator Gun

<abstract xmlns="http://www.w3.org/1999/xhtml">In this paper, we introduce a three-dimensional lattice-based computational model in which every lattice point can be occupied by an agent of various types (e.g. cancer cell, blood vessel cell or extracellular matrix). The behavior of agents can be associated to different chemical compounds that obey mass-transfer laws such as diffusion and decay in the surrounding environment. Furthermore, agents are also able to produce and consume chemical compounds. After a detailed description, the capabilities of the model are demonstrated by presenting and discussing a simulation of a biological experiment available in the literature.</abstract>

Doctoral School of Applied Informatics and Applied Mathematics

Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences

Simulating Solid Tumors with a Microenvironment-Coupled Agent-Based Computational Model

AHEAD OF PRINT

Volume 15 (2023): Issue 1 (December 2023)

Volume 14 (2022): Issue 1 (December 2022)

Volume 13 (2021): Issue 1 (December 2021)

Volume 12 (2020): Issue 1 (December 2020)

Volume 11 (2019): Issue 1 (December 2019)

Volume 10 (2018): Issue 1 (December 2018)

Volume 9 (2017): Issue 1 (December 2017)

Volume 8 (2016): Issue 1 (December 2016)

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

 Series Acta Universitatis Sapientiae, Electrical and Mechanical Engineering surveys in various fields of Electrical and Mechanical Engineering. All papers are peer-reviewed. The language of the journal is English.  Why submit Strict review, open access, various fields covered.  Why subscribe and read Series Acta Universitatis Sapientiae, Electrical and Mechanical Engineering publishes only original papers and surveys in various fields of Electrical and Mechanical Engineering. All papers are peer reviewed. Rejection Rate   40%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 