A new variant of Model Predictive Control and Identification (MPCI) is proposed. The on-line objective is not to minimize the sum of square errors, but to maximize on-line the sum of the lower bounds on the minimum eigenvalues of the information matrices over finite horizons. ; In that way, inputs to the controlled process are allowed to excite the process highly enough to generate as much modelling information as possible, while the process goes off-spec as little as possible. Constraints can be loosened or tightened according to the need for identification. The effectiveness of the proposed new methodology is illustrated through a number of simulations.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 9, number 1 (1999) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-09-03
2021-01-19
39
https://www.zbc.uz.zgora.pl/publication/64774
Nazwa wydania | Data |
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Adaptive control through on-line optimization. The MPCI paradigm and variants | 2021-09-03 |
Oliveira, Gustavo H.C. Amaral, Wagner C. Favier, Gerard Kowalczuk, Zdzisław - red.
Han, Qing-Long Gu, Keqin Korbicz, Józef - red. Uciński, Dariusz - red.
Muhafzan Korbicz, Józef - red. Uciński, Dariusz - red.
Zhai, Guisheng Xu, Xuping Korbicz, Józef - red. Uciński, Dariusz - red.
Ławryńczuk, Maciej Tatjewski, Piotr Korbicz, Józef - red. Uciński, Dariusz - red.
Ławryńczuk, Maciej Korbicz, Józef - ed.
Tong, Shaocheng Yang, Gengjiao Zhang, Wei Korbicz, Józef - red. Uciński, Dariusz - red.
Thuan, Mai Viet Phat, Vu Ngoc Trinh, Hieu Cordón, Oskar - ed. Kazienko, Przemysław - ed.