A new robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum

被引：8
|
作者：
Saidi, Abderazak [1 ]
Naceri, Farid [1 ]
Vaidyanathan, Sundarapandian [2 ]
机构：
[1] Univ Mustapha Ben Boulaid, LSTE Lab, Dept Elect Engn, Batna 2, Algeria
[2] Vel Tech Univ, Res & Dev Ctr, Chennai 600062, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2019年 / 33卷 / 02期
关键词：
adaptive control; fuzzy adaptive control; fuzzy systems; Lyapunov; nonlinear systems; synergetic control; FAULT-TOLERANT CONTROL; LARGE-SCALE SYSTEMS; NEURAL-CONTROL; OBSERVER; DESIGN;
D O I：
10.1504/IJMIC.2019.104378
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 deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.
引用
收藏
页码：89 / 97
页数：9
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