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Titlebook: Control of Nonlinear and Hybrid Process Systems; Designs for Uncertai Panagiotis Christofides,Nael El-Farra Book 2005 Springer-Verlag Berli

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21#
發(fā)表于 2025-3-25 04:39:54 | 只看該作者
Background on Analysis and Control of Nonlinear Systems,purpose is to provide the reader with the necessary background for the results presented throughout subsequent chapters. Since most of the results given in this chapter are standard in the nonlinear systems and control literature, they are given here without proofs. For detailed proofs, the reader is referred to the classic books [126, 148].
22#
發(fā)表于 2025-3-25 11:03:05 | 只看該作者
https://doi.org/10.1007/b105110Control of Hybrid Nonlinear Systems; Control of Nonlinear Systems; Control of Process Systems; Hybrid P
23#
發(fā)表于 2025-3-25 14:56:49 | 只看該作者
978-3-540-28456-7Springer-Verlag Berlin Heidelberg 2005
24#
發(fā)表于 2025-3-25 18:51:12 | 只看該作者
0170-8643 Provides insight and fundamental understanding into the feed.This monograph provides insight and fundamental understanding into the feedback control of nonlinear and hybrid process systems. It presents state-of-the-art methods for the synthesis of nonlinear feedback controllers for nonlinear and hyb
25#
發(fā)表于 2025-3-25 20:48:27 | 只看該作者
26#
發(fā)表于 2025-3-26 00:08:51 | 只看該作者
27#
發(fā)表于 2025-3-26 06:21:33 | 只看該作者
https://doi.org/10.1007/978-3-662-10761-4hese systems and aid MPC implementation. To motivate the hybrid predictive control structure for nonlinear and uncertain systems, we note that the practical implementation difficulties of MPC are in general more pronounced for nonlinear and uncertain systems than in the linear case.
28#
發(fā)表于 2025-3-26 10:34:33 | 只看該作者
29#
發(fā)表于 2025-3-26 12:47:24 | 只看該作者
https://doi.org/10.1007/978-3-662-10761-4earch investigations into the stability properties of model predictive controllers and led to a plethora of MPC formulations that focus on closed-loop stability (see, for example, [68, 101, 145, 228] and the review paper [191]).
30#
發(fā)表于 2025-3-26 18:04:44 | 只看該作者
Hybrid Predictive Control of Constrained Linear Systems,earch investigations into the stability properties of model predictive controllers and led to a plethora of MPC formulations that focus on closed-loop stability (see, for example, [68, 101, 145, 228] and the review paper [191]).
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