Adaptive State-Feedback Stabilization for High-Order Stochastic Nonlinear Systems with Time-Varying Control Coefficients

This paper investigates the adaptive state-feedback stabilization problem for a class of high-order stochastic nonlinear systems with unknown lower and supper bounds for time-varying control coefficients. Under some weaker and reasonable assumptions, a smooth adaptive state-feedback controller is de...

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Bibliographic Details
Main Authors: Tian Jie, Xie Xuejun
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Adaptive State-Feedback Stabilization
Control systems
Cost function
Extraterrestrial measurements
Lyapunov method
Nonlinear control systems
Nonlinear systems
Programmable control
Stochastic Nonlinear Systems
Stochastic systems
Time varying systems
Time-Varying Control Coefficients
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Summary:This paper investigates the adaptive state-feedback stabilization problem for a class of high-order stochastic nonlinear systems with unknown lower and supper bounds for time-varying control coefficients. Under some weaker and reasonable assumptions, a smooth adaptive state-feedback controller is designed, which guarantees that the closed-loop system has an almost surely unique solution, the equilibrium of interest is globally stable in probability and the states can be regulated to the origin almost surely.
ISSN:1934-1768
DOI:10.1109/CHICC.2006.4346804