Global Stabilization for Stochastic Continuous Cascade Nonlinear Systems Subject to SISS Inverse Dynamics and Time-Delay: A Dynamic Gain Approach

被引:6
|
作者
Shao, Yu [1 ,2 ]
Park, Ju H. [2 ]
Xu, Shengyuan [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Kyongsan 38541, South Korea
基金
新加坡国家研究基金会;
关键词
Stochastic processes; Nonlinear dynamical systems; Aerodynamics; Delays; Time-varying systems; Stability criteria; Asymptotic stability; Continuous system; dynamic gain; stochastic low-order cascade nonlinear system; stochastic inverse dynamics; time-varying delay; OUTPUT-FEEDBACK STABILIZATION;
D O I
10.1109/TAC.2022.3177420
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article is devoted to the global continuous control for stochastic low-order cascade nonlinear systems with time-varying delay and stochastic inverse dynamics. Compared with existing results, the nature of only continuous, but nonsmooth, is unfolded since the power of the stochastic cascade system is of low order; and all the traditional growth conditions on unknown drift and diffusion nonlinearities and local Lipschitz condition are quitted, which largely extends the scope of application. Combining with stochastic input-to-state stability, two new lemmas are developed with rigorous proofs to deal with uncertain nonlinear terms and unmeasurable stochastic inverse dynamics. A continuous control scheme consisting of a delay-independent partial state feedback controller and a serial of dynamic update laws is proposed to guarantee the globally asymptotical stability of the closed-loop system.
引用
收藏
页码:5318 / 5331
页数:14
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