4.7 Article

Decentralized robust control of uncertain Markov jump parameter systems via output feedback

Journal

AUTOMATICA
Volume 43, Issue 11, Pages 1932-1944

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2007.03.016

Keywords

decentralized control; robust control; markov jump parameter systems; uncertain systems; absolute stabilization; output feedback; rank; constrained linear matrix inequalities

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This paper addresses the problem of decentralized robust stabilization and control for a class of uncertain Markov jump parameter systems. Control is via output feedback and knowledge of the discrete Markov state. It is shown that the existence of a solution to a collection of mode-dependent coupled algebraic Riccati equations and inequalities, which depend on certain additional parameters, is both necessary and sufficient for the existence of a robust decentralized switching controller. A guaranteed upper bound on robust performance is also given. To obtain a controller which satisfies this bound, an optimization problem involving rank constrained linear matrix inequalities is introduced, and a numerical approach for solving this problem is presented. To demonstrate the efficacy of the proposed approach, an example stabilization problem for a power system comprising three generators and one on-load tap changing transformer is considered. (C) 2007 Elsevier Ltd. All rights reserved.

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