Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices
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
- Appears in Collection
- CBE-Journal Papers(저널논문)
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