DocumentCode :
44577
Title :
Stabilisation of hybrid stochastic systems by disordered controllers
Author :
Guoliang Wang ; Shengyuan Xu ; Yun Zou
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Volume :
8
Issue :
13
fYear :
2014
fDate :
September 4 2014
Firstpage :
1154
Lastpage :
1162
Abstract :
This study considers the stabilisation problem of hybrid stochastic systems by regular and stochastic state feedback controllers whose operation modes suffer a disordering phenomenon. By introducing an augmented Markov chain, a new operation mode is used to describe such a disagreement. Without designing a controller with new operation mode directly, a kind of controllers only having original operation mode is developed by using the non-fragile control method, whose condition is given as linear matrix inequalities with equation constraints. Moreover, extensions to transition probability matrix with elementwise bounded uncertainties and being partially unknown are obtained. Simulation examples are used to demonstrate the effectiveness of the proposed methods.
Keywords :
Markov processes; linear matrix inequalities; probability; stability; state feedback; stochastic systems; augmented Markov chain; disordered controllers; disordering phenomenon; elementwise bounded uncertainties; equation constraints; hybrid stochastic systems; linear matrix inequalities; nonfragile control method; operation modes; regular state feedback controllers; stabilisation problem; stochastic state feedback controllers; transition probability matrix;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2013.0818
Filename :
6882892
Link To Document :
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