Robust backstepping control of a class of nonlinear systems using fuzzy logic

被引：53
|
作者：
Jagannathan, S
Lewis, FL
机构：
[1] Univ Texas, Dept Elect Engn, Intelligent Syst Lab, San Antonio, TX 78249 USA
[2] Univ Texas, Automat & Robot Res Inst, Adv Controls & Sensors Grp, Ft Worth, TX 76118 USA
来源：
INFORMATION SCIENCES | 2000年 / 123卷 / 3-4期
关键词：
D O I：
10.1016/S0020-0255(99)00128-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy Logic (FL) controllers for the robust back stepping control of a class of nonlinear systems in both continuous and discrete-time are presented. Control action is employed to achieve tracking performance for unknown nonlinear system. Novel parameter tuning algorithms are obtained that are similar to E-modification in the case of continuous-time adaptive control. Uniform ultimate boundedness of the tracking error and the fuzzy parameter estimates are presented without using the persistency of excitation (PE) condition. Initialization of the fuzzy parameters is straightforward. Simulation results justify the theoretical conclusions. (C) 2000 Published by Elsevier Science Inc. All rights reserved.
引用
收藏
页码：223 / 240
页数：18
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