Controller design for stochastic nonlinear systems with matched conditions

被引:8
作者
Li Guifang [1 ]
Chen, Ye-Hwa [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 210016, Jiangsu, Peoples R China
[2] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
基金
中国国家自然科学基金;
关键词
stochastic nonlinear systems; uncertainty; matched conditions; global boundedness in probability; ADAPTIVE NEURAL-CONTROL; UNCERTAIN DYNAMICAL-SYSTEMS; OUTPUT-FEEDBACK CONTROL; LARGE-SCALE SYSTEMS; UNMODELED DYNAMICS; TRACKING CONTROL; SURFACE CONTROL; LINEAR-SYSTEMS; STABILIZATION; STABILITY;
D O I
10.21629/JSEE.2018.01.16
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 is concerned with the global boundedness problem for a class of stochastic nonlinear systems with matched conditions. The uncertainties in the systems are due to parameter variations and external stochastic disturbance. Only the matched conditions and the possible bound of the uncertainties are demanded. Based on the stochastic Lyapunov stability theory, an explicit controller is constructed in the gradient direction, which renders responses of the closed-loop systems be globally bounded in probability. When the systems degrade to linear systems, the controller becomes linear. Illustrative examples are given to show the effectiveness of the proposed method.
引用
收藏
页码:160 / 165
页数:6
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