DocumentCode :
3220404
Title :
Sliding Mode L2-L Infinity Control for Uncertain Stochastic Nonlinear Jump Systems
Author :
Wei Ni ; Zhongyi Tang ; Weiping Duan
Author_Institution :
Huaiyin Inst. of Technol., Inst. of Autom., Huaiyin
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
488
Lastpage :
492
Abstract :
The problems of stochastic stability and sliding mode L2-Linfin control for a class of nonlinear matched and mismatched uncertain systems with stochastic jumps are considered in this paper. The uncertain system under consideration may have mismatched norm bounded uncertainties in the state matrix. The transition of the jumping parameters in the systems is governed by a finite-state markov process. A sufficient condition is given for the existence of integral sliding surface in terms of linear matrix inequalities (LMIs). Then, a reaching motion controller is designed such that the resulting closed-loop system can be driven onto the desired sliding surface in finite time. Moreover, a state feedback robust L2-Linfin controller is also constructed by using the solution of LMIS. Finally, we give a design example in order to show the effectiveness of our method.
Keywords :
Markov processes; closed loop systems; linear matrix inequalities; motion control; nonlinear control systems; stability; stochastic systems; uncertain systems; variable structure systems; closed-loop system; finite-state Markov process; linear matrix inequalities; nonlinear jump system; reaching motion controller; sliding mode L2-L infinity control; stochastic stability; uncertain stochastic system; Control systems; H infinity control; Linear matrix inequalities; Markov processes; Nonlinear control systems; Sliding mode control; Stability; Stochastic systems; Uncertain systems; Uncertainty; markov process; mismatched uncertain systems; sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.420
Filename :
4659533
Link To Document :
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