Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
An approach to the design of discrete-time decentralized control systems based on model-based predictive control (MBPC) and neural estimation is proposed. The class of interconnected large-scale systems (LSS) is considered, and a model is used at each control station to predict the corresponding subsystem output over a long time period. ; In the case of subsystems with m-step delay information patterns the non-locally available interaction trajectories are estimated by a multi-layer neural network trained on-line with a modified backpropagation-type algorithm. Representative computer simulation results are provided and compared for a set of illustrative examples. The proposed control scheme shows better performance than the other schemes, and also covers the important case where the subsystems' interactions are nonlinear.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 8, number 3 (1998) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Nov 5, 2024
Dec 22, 2020
90
https://zbc.uz.zgora.pl/publication/64663
Edition name | Date |
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Model-based predictive control of large-scale systems using a neural estimator | Nov 5, 2024 |
Mastorakis, Nikos E. Tzafestas, Spyros G. Theodorou, Nickolas J. Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Beliczyński, Bartłomiej - red.
Krasoń, Ewa Kaczorek, Tadeusz - ed.
Trzaska, Zdzisław W. Kaczorek, Tadeusz - ed.
Xu, Li Saito, Osami Abe, Kenichi Kaczorek, Tadeusz - ed.
Young, K. David Yu, Xinghuo - red.
Xu, Jian-Xin Song, Yanbin Yu, Xinghuo - red.
Stotsky, Alexander A. Hedrick, J. Karl Yip, P.P. Yu, Xinghuo - red.