Accès libre

Nonlinear Model Predictive Control for Processes with Complex Dynamics: A Parameterisation Approach Using Laguerre Functions

À propos de cet article

Citez

Bemporad, A., Morari, M., Dua, V. and Pistikopoulos, E. (2002). The explicit linear quadratic regulator for constrained systems, Automatica38(1): 3–20.10.1016/S0005-1098(01)00174-1Search in Google Scholar

Bosschaerts, W., Van Renterghem, T., Hasan, O.A. and Limam, K. (2017). Development of a model based predictive control system for heating buildings, Energy Procedia122(1): 519–528.10.1016/j.egypro.2017.03.1110Search in Google Scholar

Chaber, P. and Ławryńczuk, M. (2019). Fast analytical model predictive controllers and their implementation for STM32 ARM microcontroller, IEEE Transactions on Industrial Informatics15(8): 4580–45900.10.1109/TII.2019.2893122Search in Google Scholar

Clarke, D.W., Mohtadi, C. and Tuffs, P.S. (1987). Generalized predictive control. Part I: The basic algorithm, Automatica23(2): 137–148.Search in Google Scholar

Falconí, G.P., Angelov, J. and Holzapfel, F. (2018). Adaptive fault-tolerant position control of a hexacopter subject to an unknown motor failure, International Journal of Applied Mathematics and Computer Science28(2): 309–321, DOI: 10.2478/amcs-2018-0022.10.2478/amcs-2018-0022Search in Google Scholar

Greblicki, W. (2010). Nonparametric input density-free estimation of the nonlinearity in Wiener systems, IEEE Transactions on Information Theory56(7): 3575–3580.10.1109/TIT.2010.2048461Search in Google Scholar

Gutiérrez-Urquídez, R.C., Valencia-Palomo, G., Rodríguez-Elias, O.M. and Trujillo, L. (2015). Systematic selection of tuning parameters for efficient predictive controllers using a multiobjective evolutionary algorithm, Applied Soft Computing31(6): 326–338.10.1016/j.asoc.2015.02.033Search in Google Scholar

Harrabi, N., Kharrat, M., Aitouche, A. and Souissi, M. (2018). Control strategies for the grid side converter in a wind generation system based on a fuzzy approach, International Journal of Applied Mathematics and Computer Science28(2): 323–333, DOI: 10.2478/amcs-2018-0023.10.2478/amcs-2018-0023Search in Google Scholar

Jama, M., Wahyudie, A. and Noura, H. (2018). Robust predictive control for heaving wave energy converters, Control Engineering Practice77(1): 138–149.10.1016/j.conengprac.2018.05.010Search in Google Scholar

Janczak, A. and Korbicz, J. (2019). Two-stage instrumental variables identification of polynomial Wiener systems with invertible nonlinearities, International Journal of Applied Mathematics and Computer Science29(3): 571–580, DOI: 10.2478/amcs-2019-0042.10.2478/amcs-2019-0042Search in Google Scholar

Karimi Pour, F., Puig, V. and Ocampo-Martinez, C. (2018). Multi-layer health-aware economic predictive control of a pasteurization pilot plant, International Journal of Applied Mathematics and Computer Science28(1): 97–110, DOI: 10.2478/amcs-2018-0007.10.2478/amcs-2018-0007Search in Google Scholar

Khan, B. and Rossiter, J. A. (2013). Alternative parameterisation within predictive control: A systematic selection, International Journal of Control86(8): 1397–1409.10.1080/00207179.2013.774462Search in Google Scholar

Kim, J., Jung, Y. and Bang, H. (2018). Linear time-varying model predictive control of magnetically actuated satellites in elliptic orbits, Acta Astronautica151(1): 791 – 804.10.1016/j.actaastro.2018.07.029Search in Google Scholar

Lasheen, A., Saad, M.S., Emara, H.M. and Elshafei, A.L. (2017). Continuous-time tube-based explicit model predictive control for collective pitching of wind turbine, Energy118(1): 1222–1233.10.1016/j.energy.2016.11.002Search in Google Scholar

Li, Y., Wang, H. and Meng, X. (2019). Almost periodic synchronization of fuzzy celluar neural networks with time-varying delays via state-feedback and impulsive control, International Journal of Applied Mathematics and Computer Science29(2): 337–349, DOI: 10.2478/amcs-2019-0025.10.2478/amcs-2019-0025Search in Google Scholar

Ligthart, J.A.J., Poksawat, P., Wang, L. and Nijmeijer, H. (2017). Experimentally validated model predictive controller for a hexacopter, IFAC-PapersOnLine50(1): 4076–4081.10.1016/j.ifacol.2017.08.791Search in Google Scholar

Ławryńczuk, M. (2014). Computationally Efficient Model Predictive Control Algorithms: A Neural Network Approach, Springer, Cham.10.1007/978-3-319-04229-9Search in Google Scholar

Maciejowski, J. (2002). Predictive Control with Constraints, Prentice Hall, Harlow.Search in Google Scholar

Mzyk, G. (2014). Combined Parametric-Nonparametric Identification of Block-Oriented Systems, Lecture Notes in Control and Information Sciences, Vol. 454, Springer Verlag, Berlin.Search in Google Scholar

Oliveira, G.H.C., da Rosa, A., Campello, R.J.G.B., Machado, J.B. and Amaral, W.C. (2011). An introduction to models based on Laguerre, Kautz and other related orthonormal functions. Part I: Linear and uncertain models, International Journal of Modelling, Identification and Control14(1/2): 121–132.Search in Google Scholar

Oliveira, G.H.C., da Rosa, A., Campello, R.J.G.B., Machado, J.B. and Amaral, W.C. (2012). An introduction to models based on Laguerre, Kautz and other related orthonormal functions. Part II: Non-linear models, International Journal of Modelling, Identification and Control16(1): 1–14.Search in Google Scholar

Pazera, M., Buciakowski, M. and Witczak, M. (2018). Robust multiple sensor fault-tolerant control for dynamic non-linear systems: Application to the aerodynamical twin-rotor system, International Journal of Applied Mathematics and Computer Science28(2): 297–308, DOI: 10.2478/amcs-2018-0021.10.2478/amcs-2018-0021Search in Google Scholar

Richalet, J. and O’Donovan, D. (2009). Predictive Functional Control: Principles and Industrial Applications, Springer, London.10.1007/978-1-84882-493-5Search in Google Scholar

Takács, G., Batista, G., Gulan, M. and Rohal’-Ilkiv, B. (2016). Embedded explicit model predictive vibration control, Mechatronics36(1): 54–62.10.1016/j.mechatronics.2016.04.008Search in Google Scholar

Tatjewski, P. (2007). Advanced Control of Industrial Processes, Structures and Algorithms, Springer, London.Search in Google Scholar

van Donkelaar, E.T., Bosgra, O.H. and Van den Hof, P.M.J. (1999). Model predictive control with generalized input parametrization, Proceedings of the European Control Conference, ECC 1999, Karlsruhe, Germany, pp. 443–454, paper F0599.Search in Google Scholar

Wahlberg, B. (1991). System identification using Laguerre models, IEEE Transactions on Automatic Control36(5): 551–562.10.1109/9.76361Search in Google Scholar

Wang, L. (2001). Continuous time model predictive control design using orthonormal functions, International Journal of Control74(16): 1588–1600.10.1080/00207170110082218Search in Google Scholar

Wang, L. (2004). Discrete model predictive controller design using Laguerre functions, Journal of Process Control14(2): 131–142.10.1016/S0959-1524(03)00028-3Search in Google Scholar

Wang, Y. and Boyd, S. (2010). Fast model predictive control using online optimization, IEEE Transactions on Control Systems Technology18(2): 267–278.10.1109/TCST.2009.2017934Search in Google Scholar

Witkowska, A. and Śmierzchalski, R. (2018). Adaptive backstepping tracking control for an over-actuated DP marine vessel with inertia uncertainties, International Journal of Applied Mathematics and Computer Science28(4): 679–693, DOI: 10.2478/amcs-2018-0052.10.2478/amcs-2018-0052Search in Google Scholar

Zheng, Y., Zhou, J., Xu, Y., Zhang, Y. and Qian, Z. (2017). A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions, ISA Transactions68(1): 127–140.10.1016/j.isatra.2017.03.00928343709Search in Google Scholar

eISSN:
2083-8492
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Mathematics, Applied Mathematics