Operator-based adaptive robust control for uncertain nonlinear systems by combining coprime factorization and fuzzy control method1

Author:

Li Mengyang1,Wang Nan2,Fu Zhumu2,Tao Fazhan3,Zhou Tao1

Affiliation:

1. Luoyang Normal University, Luoyang, Henan, China

2. College of Information Engineering, Henan University of Science and Technology, Luoyang, Henan, China

3. Research Institute of Intelligent System Science, Longmen Laboratory, Luoyang, Henan, China

Abstract

In this paper, the robust stability of nonlinear system with unknown perturbation is considered combining operator-based right coprime factorization and fuzzy control method from the input-output view of point. In detail, fuzzy logic system is firstly combined with operator-based right coprime factorization method to study the uncertain nonlinear system. By using the operator-based fuzzy controller, the unknown perturbation is formulated, and a sufficient condition of guaranteeing robust stability is given by systematic calculation, which reduces difficulties in designing controller and calculating inverse of Bezout identity. Implications of the results related to former results are briefly compared and discussed. Finally, a simulation example is shown to confirm effectiveness of the proposed design scheme of this paper.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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