Type-1/type-2 fuzzy logic systems optimization with RNA genetic algorithm for double inverted pendulum

被引：35
作者：
Sun, Zhe [1 ]
Wang, Ning [1 ]
Bi, Yunrui [2 ]
机构：
[1] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
来源：
APPLIED MATHEMATICAL MODELLING | 2015年 / 39卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Type-2 fuzzy logic system; RNA genetic algorithm; Control systems; Double inverted pendulum; PARAMETER-ESTIMATION; CONTROLLERS; DESIGN;
D O I：
10.1016/j.apm.2014.04.035
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper proposes a hybrid type-2 fuzzy logic system architecture with the aid of RNA genetic algorithm for a double inverted pendulum system. As an extension of type-1 fuzzy logic system, type-2 fuzzy logic system can effectively improve the control performance by uncertainty of membership function especially when we have to confront with corrupted data or unpredicted external disturbances. In this proposed method, the related parameters of type-1 and type-2 fuzzy logic systems are respectively optimized by using RNA genetic algorithm. Through computer simulation and comparisons, the better performance can be achieved by using optimized type-2 fuzzy logic system with RNA genetic algorithm. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：70 / 85
页数：16
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