Worst-case formulations of model predictive control for systems with bounded parameters

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Two different predictive control formulations are developed based on minimization of the worst-case quadratic cost for systems with bounded parameters. The two formulations differ on the assumptions made about the future inputs in optimizing the current input: one assumes open-leap control, while the other considers closed-loop control. Their closed-loop properties such as asymptotic stability are examined. We then focus on a moving average model with an integrator, and derive computationally simpler suboptimal algorithms. (C) 1997 Elsevier Science Ltd.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
1997-05
Language
English
Article Type
Article
Keywords

STABILITY

Citation

AUTOMATICA, v.33, no.5, pp.763 - 781

ISSN
0005-1098
DOI
10.1016/S0005-1098(96)00255-5
URI
http://hdl.handle.net/10203/73331
Appears in Collection
CBE-Journal Papers(저널논문)
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