Gravitational Search Algorithm and Lyapunov Theory based Stable Adaptive Fuzzy Logic Controller

被引：2

作者：

Roy, Ananya ^{[1
]}

Das Sharma, Kaushik ^{[2
]}

机构：

[1] Bengal Engn & Sci Univ, Dept Elect Engn, Sibpur, India

[2] Univ Calcutta, Dept Appl Phys, Kolkata 700009, W Bengal, India

来源：

FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013 | 2013年 / 10卷

关键词：

Gravitational Search Algorithm; Lyapunov Theory; Adaptive Fuzzy Logic Controller;

D O I：

10.1016/j.protcy.2013.12.398

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a new hybrid design methodology for stable adaptive fuzzy controllers for a non-linear system is proposed. The proposed design strategy utilizes the gravitational search algorithm (GSA) based heuristic global search technique and Lyapunov theory based local adaptation. The objective is to design a self-adaptive fuzzy controller, optimizing the free parameters of the fuzzy controller, so that the designed controller can guarantee desired stability. The GSA based design and hybrid GSA-Lyapunov concurrent design methodologies are implemented for a nonlinear plant with different reference signals and the results demonstrate the superiority of proposed hybrid design methodology. (C) 2013 The Authors. Published by Elsevier Ltd.

引用

页码：581 / 586

页数：6

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