Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints

被引：96

作者：

Edalati, L. ^{[1
]}

Sedigh, A. Khaki ^{[2
]}

Shooredeli, M. Aliyari ^{[2
]}

Moarefianpour, A. ^{[1
]}

机构：

[1] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran

[2] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2018年 / 100卷

关键词：

Adaptive control; Dynamic surface control (DSC) technique; Fuzzy logic systems (FLSs); Input saturation; Time-varying output constraint; BACKSTEPPING CONTROL; TRACKING CONTROL; NEURAL-CONTROL;

D O I：

10.1016/j.ymssp.2017.07.036

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper deals with the design of adaptive fuzzy dynamic surface control for uncertain strict-feedback nonlinear systems with asymmetric time-varying output constraints in the presence of input saturation. To approximate the unknown nonlinear functions and overcome the problem of explosion of complexity, a Fuzzy logic system is combined with the dynamic surface control in the backstepping design technique. To ensure the output constraints satisfaction, an asymmetric time-varying Barrier Lyapunov Function (BLF) is used. Moreover, by applying the minimal learning parameter technique, the number of the online parameters update for each subsystem is reduced to 2. Hence, the semi-globally uniformly ultimately boundedness (SGUUB) of all the closed-loop signals with appropriate tracking error convergence is guaranteed. The effectiveness of the proposed control is demonstrated by two simulation examples. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：311 / 329

页数：19

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