DocumentCode :
183781
Title :
Stochastic robustness of interconnected nonlinear systems in an iISS framework
Author :
Ito, H. ; Nishimura, Yasutaro
Author_Institution :
Dept. of Syst. Design & Inf., Kyushu Inst. of Technol., Iizuka, Japan
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
5210
Lastpage :
5216
Abstract :
In this paper, the problem of verifying integral input-to-state stability (iISS) and input-to-state stability (ISS) of interconnected stochastic systems is addressed. The aim is at extending the deterministic iISS small-gain framework to stochastic systems by including ISS as a special case. This paper highlights fundamental differences between the stochastic and deterministic cases. Dealing with nonlinearities in interconnection gives rise to a unique issue in the presence of stochastic noises. The key is to cope effectively with the gradient of Lyapunov functions of subsystems in composing a Lyapunov function of the entire system. It is demonstrated that the influence of the gradient appears considerably different in two types of robustness notions. This paper also clarifies the influence of the gradient on the establishment of a trajectory estimate of iISS which is weaker than ISS.
Keywords :
Lyapunov methods; interconnected systems; nonlinear control systems; robust control; stochastic systems; Lyapunov functions; deterministic iISS small-gain framework; integral input-to-state stability; interconnected nonlinear systems; interconnected stochastic systems; stochastic noises; stochastic robustness; Interconnected systems; Lyapunov methods; Noise; Robustness; Stability analysis; Stochastic systems; Trajectory; Stability of nonlinear systems; Stochastic systems; Uncertain systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858778
Filename :
6858778
Link To Document :
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