Adaptive state-feedback stabilization of state-constrained stochastic high-order nonlinear systems  

作　　者：Rongheng CUI Xuejun XIE 

机构地区：[1]Institute of Automation,Qufu Normal University,Qufu 273165,China

出　　处：《Science China(Information Sciences)》2021年第10期35-45,共11页中国科学（信息科学）（英文版）

基　　金：supported by the Taishan Scholar Project of Shandong Province of China(Grant No.ts201712040);National Natural Science Foundation of China(Grant No.62073186)。

摘　　要：This paper presents an adaptive state-feedback strategy for state-constrained stochastic highorder nonlinear systems.By adding a power integrator and adaptive backstepping techniques,a new adaptive controller is constructed without imposing feasibility conditions,which guarantees that all closed-loop signals are bounded almost surely,full-state constraints are not violated almost surely,and the trivial solution of the closed-loop system is stochastically asymptotically stable.

关 键 词：stochastic high-order nonlinear systems full-state constraints feasibility conditions state-feedback stabilization adaptive control 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]