Title :
Stabilization for a Class of Stochastic Nonlinear Systems via Output Feedback
Author :
Mu, Xiaowu ; Liu, Haijun
Author_Institution :
Dept. of Math., Zhengzhou Univ., Zhengzhou
Abstract :
In this paper, an output feedback stabilization is considered for a class of stochastic nonlinear systems, whose nonlinear terms admit an incremental rate depending only on the measured output. First, a high-gain observer is designed with a gain coming from a Riccatti equation. Second, by the backstepping approach, an output feedback controller is obtained, which guarantees global stability in probability and regulation of the state of the plant to zero with probability one. Third, an example is delivered to illustrate the proposed technique.
Keywords :
Riccati equations; feedback; nonlinear control systems; observers; probability; stability; stochastic systems; Riccatti equation; backstepping approach; global stability; high-gain observer design; output feedback controller; probability; stabilization; stochastic nonlinear systems; Asymptotic stability; Automatic control; Backstepping; Control systems; Nonlinear equations; Nonlinear systems; Output feedback; Robust stability; Stochastic processes; Stochastic systems; Backstepping; observer; output feedback; stabilization;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.914228