Finite-time stabilization of output-constrained stochastic high-order nonlinear systems with high-order and low-order nonlinearities

被引：53
|
作者：
Cui, Rong-Heng [1 ]
Xie, Xue-Jun [1 ]
机构：
[1] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
来源：
AUTOMATICA | 2022年 / 136卷
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Stochastic high-order nonlinear systems; High-order and low-order nonlinearities; FT-SISS inverse dynamics; Output constraint; Finite-time stabilization; BARRIER LYAPUNOV FUNCTIONS; ADAPTIVE-CONTROL; STABILITY;
D O I：
10.1016/j.automatica.2021.110085
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 paper investigates finite-time stabilization of output-constrained stochastic high-order nonlinear systems with stochastic inverse dynamics and high-order and low-order nonlinearities. By characterizing the unmeasured stochastic inverse dynamics with finite-time stochastic input-to-state stability and introducing nonlinear transformations, a new design and analysis method is constructed. It is rigorously proved that all the closed-loop signals are bounded almost surely, the asymmetric output constraint isn't violated almost surely, and the trivial solution of the closed-loop system is finite-time stable in probability. (c) 2021 Elsevier Ltd. All rights reserved.
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页数：9
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