非线性系统
数学
控制理论(社会学)
订单(交换)
应用数学
计算机科学
控制(管理)
财务
量子力学
物理
人工智能
经济
作者
Rong‐Heng Cui,Xue‐Jun Xie
出处
期刊:Automatica
[Elsevier BV]
日期:2021-12-13
卷期号:136: 110085-110085
被引量:55
标识
DOI:10.1016/j.automatica.2021.110085
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.
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