Korbicz, Józef - red. ; Uciński, Dariusz - red.
The subject of this paper is to discuss selected effective known and novel structures for advanced process control and optimization. The role and techniques of model-based predictive control (MPC) in a supervisory (advanced) control layer are first shortly discussed. The emphasis is put on algorithm efficiency for nonlinear processes and on treating uncertainty in process models, with two solutions presented: the structure of nonlinear prediction and successive linearizations for nonlinear control, and a novel algorithm based on fast model selection to cope with process uncertaint ; Issues of cooperation between MPC algorithms and on-line steady-state set-point optimization are next discussed, including integrated approaches. Finally, a recently developed two-purpose supervisory predictive set-point optimizer is discussed, designed to perform simultaneously two goals: economic optimization and constraints handling for the underlying unconstrained direct controllers.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 20, Number 3 (2010) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 7, 2021
Aug 14, 2018
144
https://zbc.uz.zgora.pl/publication/54962
Edition name | Date |
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Supervisory predictive control and on-line set-point optimization | Sep 7, 2021 |
Marusak, Piotr M. Tatjewski, Piotr Korbicz, Józef - ed. Sauter, Dominique - ed.
Marusak, Piotr M. Tatjewski, Piotr Korbicz, Józef - ed.
Deng, Jiamei Becerra, Victor M. Stobart, Richard Korbicz, Józef - ed.
Ławryńczuk, Maciej Iacono, Mauro - ed. Kołodziej, Joanna - ed.
Tatjewski, Piotr Ławryńczuk, Maciej Korbicz, Józef - red.
Haber, Robert Bars, Ruth Lengyel, Orsolya Kowalczuk, Zdzisław - red.
Declercq, Filip Keyser, Robin de Kowalczuk, Zdzisław - red.
Antoniades, Charalambos Christofides, Panagiotis D. Korbicz, Józef - red. Uciński, Dariusz - red.