H∞ control for singular Markovian jump systems with incomplete knowledge of transition probabilities

Nam Kyu Kwon, In Seok Park and PooGyeon Park

Applied Mathematics and Computation, 2017, vol. 295, issue C, 126-135

Abstract: This paper proposes a H∞ state-feedback control for singular Markovian jump systems with incomplete knowledge of transition probabilities. Different from the previous results where the transition rates are completely known or the bounds of the unknown transition rates are given, a more general situation where the transition rates are partly unknown and the bounds of the unknown transition rates are also unknown is considered. Moreover, in contrast to the singular Markovian jump systems studied recently, the proposed method does not require any tuning parameters that arise when handling non-convex terms related to the mode-dependent Lyapunov matrices and the corresponding self-mode transition rates. Also, this paper uses all possible slack variables related to the transition rates into the relaxation process which contributes to reduce the conservatism. Finally, two numerical examples are provided to demonstrate the performance of H∞ mode-dependent control.

Keywords: Singular Markovian jump system; H∞ control; Incomplete knowledge of transition probabilities (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:295:y:2017:i:c:p:126-135

DOI: 10.1016/j.amc.2016.09.004

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