A fuzzy adaptive tracking control for a class of uncertain strick-feedback nonlinear systems with dead-zone input

被引：25
作者：
Yang, Zhongjun [1 ,2 ]
Zhang, Huaguang [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Shenyang Univ Chem Technol, Coll Informat Engn, Shenyang 110142, Liaoning, Peoples R China
来源：
NEUROCOMPUTING | 2018年 / 272卷
关键词：
Generalized fuzzy hyperbolic model (GFHM); Dynamic surface control (DSC); Adaptive tracking control; Dead-zone input; Strick-feedback nonlinear systems; SMALL-GAIN APPROACH; DYNAMIC SURFACE CONTROL; BACKSTEPPING CONTROL; HYPERBOLIC MODEL; DESIGN; STABILIZATION; DISTURBANCES; STABILITY;
D O I：
10.1016/j.neucom.2017.06.060
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the problem of fuzzy adaptive tracking control for a class of uncertain strick-feedback nonlinear systems with dead-zone input and unknown bounded disturbances. Dead-zone actuators and unknown disturbances are considered at the same time. The generalized fuzzy hyperbolic model (GFHM) is used to approximate the unknown nonlinear functions. Then, the dynamic surface control (DSC) technique is employed to avoid the problem of 'explosion of complexity', and just one adaptive law in the design of controller makes the system more simple and the computational burden lighter. Lyapunov stability analysis shows that all the signals in the closed-loop systems are semi-globally uniformly ultimately bounded (SGUUB). Finally, two simulation examples validate the effectiveness of the proposed scheme. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：130 / 135
页数：6
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