Title :
Stabilization of multi-input stochastic nonlinear systems
Author :
Liu, Xiaoping ; Gu, Guoxiang ; Zhou, Kemin
Author_Institution :
Dept. of Autom. Control, Northeastern Univ., Shenyang, China
Abstract :
This paper studies the problem of globally asymptotic stability in probability for a class of multi-input stochastic nonlinear systems. We assume that the system under consideration is in a special form, which is much more general than a strict feedback form. We then show by recursively using backstepping and augmentation that the globally asymptotic stability in probability of the system can be achieved via a static state feedback
Keywords :
asymptotic stability; multivariable control systems; nonlinear control systems; state feedback; stochastic systems; augmentation; backstepping; globally asymptotic stability; multi-input stochastic nonlinear systems; probability; recursive methods; static state feedback; Asymptotic stability; Automatic control; Backstepping; Computer science education; Educational programs; Lyapunov method; Nonlinear systems; State feedback; Stochastic systems; Systems engineering education;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.758465
