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

作     者：Rongheng CUI Xuejun XIE Rongheng CUI;Xuejun XIE

作者机构：Institute of Automation Qufu Normal University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2021年第64卷第10期

页      面：39-49页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

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) 

主　　题：stochastic high-order nonlinear systems full-stateconstraints feasibility conditions state-feedbackstabilization adaptive control 

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.