Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/86264
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Type: Journal article
Title: State estimation and sliding-mode control of Markovian jump singular systems
Author: Wu, L.
Shi, P.
Gao, H.
Citation: IEEE Transactions on Automatic Control, 2010; 55(5):1213-1219
Publisher: IEEE
Issue Date: 2010
ISSN: 0018-9286
1558-2523
Statement of
Responsibility: 
Ligang Wu, Peng Shi and Huijun Gao
Abstract: This paper is concerned with the state estimation and sliding-mode control problems for continuous-time Markovian jump singular systems with unmeasured states. Firstly, a new necessary and sufficient condition is proposed in terms of strict linear matrix inequality (LMI), which guarantees the stochastic admissibility of the unforced Markovian jump singular system. Then, the sliding-mode control problem is considered by designing an integral sliding surface function. An observer is designed to estimate the system states, and a sliding-mode control scheme is synthesized for the reaching motion based on the state estimates. It is shown that the sliding mode in the estimation space can be attained in a finite time. Some conditions for the stochastic admissibility of the overall closed-loop system are derived. Finally, a numerical example is provided to illustrate the effectiveness of the proposed theory.
Keywords: Markovian jump; observer; singular systems; sliding-mode control; unmeasured states
Rights: © 2010 IEEE
RMID: 0020128285
DOI: 10.1109/TAC.2010.2042234
Appears in Collections:Electrical and Electronic Engineering publications

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