DocumentCode :
2429206
Title :
Robust stabilization of 2-D state-delayed systems with stochastic perturbation
Author :
Yao, Juan ; Wang, Weiqun ; Ye, Shuxia
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1951
Lastpage :
1956
Abstract :
Delay systems may be encountered stochastic perturbation, and the stability conditions of such systems are different from delay systems and stochastic systems. This paper considers the problems of robust stabilization for 2-D state-delayed system in Roesser model (RM) with stochastic perturbation for the first time. Delay-dependent sufficient stability conditions are derived in terms of linear matrix inequalities (LMIs).A state feedback controller is designed to ensure robust mean-square stability of the closed-loop system. An example is provided to demonstrate the effectiveness of the proposed approach.
Keywords :
closed loop systems; control system synthesis; delays; linear matrix inequalities; mean square error methods; stability; state feedback; stochastic systems; 2D state-delayed systems; LMI; Roesser model; closed-loop system; delay-dependent sufficient stability conditions; linear matrix inequalities; robust mean-square stability; robust stabilization; state feedback controller; stochastic perturbation; Delay; Delay systems; Robustness; Stability analysis; Stochastic processes; Symmetric matrices; Thermal stability; 2-D systems; Linear matrix inequality; State-delayed systems; Stochastic perturbation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707397
Filename :
5707397
Link To Document :
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