Korbicz, Józef - 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
Sep 3, 2021
Dec 22, 2020
77
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 | Sep 3, 2021 |
Mastorakis, Nikos E. Tzafestas, Spyros G. Theodorou, Nickolas J. Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red.
Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef - red. Uciński, Dariusz - red.