Global adaptive stabilization of stochastic high-order switched nonlinear non-lower triangular systems

被引:58
作者
Niu, Ben [1 ]
Liu, Ming [2 ]
Li, Ang [2 ]
机构
[1] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
[2] Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic high-order nonlinear systems; Switched nonlinear systems; Adaptive stabilization; Non-lower triangular structure; Adding a power integrator technique; OUTPUT-FEEDBACK STABILIZATION; FINITE-TIME STABILIZATION; NEURAL TRACKING CONTROL; STATE-FEEDBACK; LINEAR-SYSTEMS; OPTIMAL CONTROLLER; H-INFINITY; MIXED ODD; STABILITY; L-2-GAIN;
D O I
10.1016/j.sysconle.2019.104596
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 deal with the global adaptive stabilization problem for a class of uncertain stochastic high-order switched nonlinear systems. The most distinctive feature of the studied system is that all drift terms of each subsystem are non-lower triangular nonlinear functions. To achieve the control objective, the retrogressed form of the studied system is first considered and a common state-feedback controller of all subsystems is first systematically constructed in the framework of the common Lyapunov function (CLF) method combined with the adding a power integrator technique, which assures the global stability in probability of the corresponding closed-loop retrogressed system under arbitrary switching. Then a sufficient condition is deliberately proposed by designing a state-dependent switching law in combination with the common state-feedback controller to ensure that the system states can be regulated to the origin almost surely and the globally stability in probability of the whole closed-loop system. Finally, two simulation examples are given to illustrate the effectiveness of the presented control schemes. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 49 条
[1]   Stochastic stability analysis for 2-D Roesser systems with multiplicative noise [J].
Ahn, Choon Ki ;
Wu, Ligang ;
Shi, Peng .
AUTOMATICA, 2016, 69 :356-363
[2]  
[Anonymous], 2005, COMM CONT E
[3]   On delay-dependent stability for a class of nonlinear stochastic systems with multiple state delays [J].
Basin, Michael ;
Rodkina, Alexandra .
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2008, 68 (08) :2147-2157
[4]   Optimal controller for uncertain stochastic polynomial systems with deterministic disturbances [J].
Basin, Michael ;
Calderon-Alvarez, Dario .
INTERNATIONAL JOURNAL OF CONTROL, 2009, 82 (08) :1435-1447
[5]   Optimal Controller for Uncertain Stochastic Linear Systems With Poisson Noises [J].
Basin, Michael V. ;
Maldonado, Juan J. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (01) :267-275
[6]   Multiple Lyapunov functions and other analysis tools for switched and hybrid systems [J].
Branicky, MS .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (04) :475-482
[7]   On stability of randomly switched nonlinear systems [J].
Chatterjee, Debasish ;
Liberzon, Daniel .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (12) :2390-2394
[8]   Adaptive fuzzy output-feedback fault-tolerant tracking control of a class of uncertain nonlinear switched systems [J].
Cui, Di ;
Niu, Ben ;
Wang, Huanqing ;
Yang, Dong .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 50 (14) :2673-2686
[9]   Adaptive neural tracking control of nonlinear stochastic switched non-lower triangular systems with input saturation [J].
Cui, Di ;
Niu, Ben ;
Wang, HuanQing ;
Yang, Dong .
NEUROCOMPUTING, 2019, 364 :192-202
[10]   Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees [J].
Dai, Shi-Lu ;
He, Shude ;
Wang, Min ;
Yuan, Chengzhi .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (12) :3686-3698