Robust guaranteed cost control for uncertain discrete-time systems with state and input quantizations
Autor: | Qunxian Zheng, Haoling Chen, Shengyuan Xu |
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Rok vydání: | 2021 |
Předmět: |
Information Systems and Management
Inequality Computer science media_common.quotation_subject 05 social sciences Stability (learning theory) 050301 education Polytope 02 engineering and technology Design strategy Function (mathematics) Type (model theory) Computer Science Applications Theoretical Computer Science Discrete time and continuous time Artificial Intelligence Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) 0503 education Software media_common |
Zdroj: | Information Sciences. 564:288-305 |
ISSN: | 0020-0255 |
Popis: | The robust guaranteed cost control problem for uncertain discrete-time systems with state and input quantizations has been studied in this paper. The polytope type uncertainties are considered in the plants. Different from previous related works, a novel guaranteed cost control strategy has been put forward in this paper. The novelty and challenge lie in that the quantized state and quantized input are included in the guaranteed cost function. Through introducing some auxiliary scalars and combining with the S-procedure, new criteria are developed for the robust stability and guaranteed cost performance for discrete-time systems with state and input quantizations. Based on a new two-step design strategy, the controller and dynamic quantizers can be easily obtained by means of linear matrix inequalities. In the end, two examples are given to demonstrate the effectiveness and applicability of the proposed method. |
Databáze: | OpenAIRE |
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