DocumentCode :
3611568
Title :
Adaptive stabilisation of random systems with arbitrary switchings
Author :
Ticao Jiao ; Shengyuan Xu ; Yongmin Li ; Ze Li
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Volume :
9
Issue :
18
fYear :
2015
Firstpage :
2634
Lastpage :
2640
Abstract :
This study is concerned with the global stabilisation problem for a class of random non-linear systems with arbitrary switchings and parameter uncertainties. Under some milder assumptions and by constructing a Lyapunov function, a common adaptive state feedback controller is designed such that the resulting closed-loop system has a globally unique and almost surely bounded solution. Furthermore, the system states are exponentially noise-to-state stable in mean square. Finally, the efficiency of the proposed design approach is demonstrated by a numerical example.
Keywords :
Lyapunov methods; adaptive systems; asymptotic stability; closed loop systems; control system synthesis; mean square error methods; nonlinear systems; state feedback; switching systems (control); uncertain systems; Lyapunov function; adaptive stabilisation; adaptive state feedback controller design; arbitrary switching; closed-loop system; exponential noise-to-state stability; mean square; parameter uncertainty; random nonlinear system;
fLanguage :
English
Journal_Title :
Control Theory Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2015.0065
Filename :
7339599
Link To Document :
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