Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices

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Min-max predictive control of a linear state-space system with a bounded set of input matrices is studied based on a quadratic performance criterion. Systems with stable and integrating dynamics as well as time-varying and time-invariant uncertainties are treated. Algorithms that are computationally manageable and ensure closed-loop stability are developed and tested. (C) 2000 Elsevier Science Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2000-03
Language
English
Article Type
Article; Proceedings Paper
Citation

AUTOMATICA, v.36, no.3, pp.463 - 473

ISSN
0005-1098
DOI
10.1016/S0005-1098(99)00178-8
URI
http://hdl.handle.net/10203/74053
Appears in Collection
CBE-Journal Papers(저널논문)
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