期刊
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
卷 355, 期 8, 页码 3423-3437出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2018.01.035
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资金
- National Natural Science Foundation of China [61773183, 61403167]
- 111 Project [B12018]
- Australia Research Council [DP170102644]
- China Scholarship Council [201606790050]
This paper addresses the control problem for a class of discrete-time Markov jump linear systems with partially unknown transition probabilities using model predictive controller subject to external disturbances and input constraints. Our focus is on the design of a model predictive controller to stabilize the system with a given mixed H-2/H-infinity performance index. Sufficient conditions are derived in terms of a set of linear matrix inequalities. Examples are presented to demonstrate the effectiveness of the proposed controller design method. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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