Finite-Time Stabilization of Stochastic High-Order Nonlinear Systems With FT-SISS Inverse Dynamics

被引：116
|
作者：
Jiang, Meng-Meng [1 ]
Xie, Xue-Jun [1 ]
Zhang, Kemei [2 ]
机构：
[1] Qufu Normal Univ, Inst Automat, Jining 273165, Peoples R China
[2] Qufu Normal Univ, Sch Math Sci, Jining 273165, Peoples R China
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2019年 / 64卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Finite-time stabilization; finite-time stochastic input-to-state stability (FT-SISS); state feedback controller; stochastic high-order nonlinear systems; OUTPUT-FEEDBACK STABILIZATION; TO-STATE STABILITY; DRIVEN; DESIGN; NOISE;
D O I：
10.1109/TAC.2018.2827993
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 aims to solve the finite-time stabilization problem for stochastic high-order nonlinear systems with stochastic inverse dynamics. By characterizing unmeasured stochastic inverse dynamics with finite-time stochastic input-to-state stability (FT-SISS), borrowing from some ideas of the Lyapunov function, sign function, backstepping and FT-SISS methods, and using stochastic finite-time stability theory, a new design and analysis method is given to guarantee global finite-time stability in probability of the closed-loop stochastic systems.
引用
收藏
页码：313 / 320
页数：8
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