Characteristic Model-Based Adaptive Control for a Class of MIMO Uncertain Nonaffine Nonlinear Systems Governed by Differential Equations

被引:0
|
作者
Sun, Duo-Qing [1 ,2 ]
Ma, Xiao-Ying [1 ]
机构
[1] Hebei Normal Univ Sci & Technol, Inst Math & Syst Sci, Qinhuangdao 066004, Hebei, Peoples R China
[2] China Acad Space Technol, Beijing Inst Control Engn, Beijing 100190, Peoples R China
关键词
DYNAMIC SURFACE CONTROL; FUZZY CONTROL; AFFINE SYSTEMS; NEURAL-CONTROL; CONTROL DESIGN; STATE;
D O I
10.1155/2020/3649472
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper addresses the difficulty of designing a controller for a class of multi-input multi-output uncertain nonaffine nonlinear systems governed by differential equations. We first derive the first-order characteristic model composed of a linear time-varying uncertain system for such nonaffine systems and then design an adaptive controller based on this first-order characteristic model for position tracking control. The designed controller exhibits a simple structure that can effectively avoid the controller singularity problem. The stability of the closed-loop system is analyzed using the Lyapunov method. The effectiveness of our proposed method is validated with a numerical example.
引用
收藏
页数:13
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