Fuzzy modeling strategy for control of nonlinear dynamical systems

被引：0
|
作者：
Ye, B [1 ]
Zhu, CZ [1 ]
Guo, CX [1 ]
Cao, YJ [1 ]
机构：
[1] Zhejiang Univ, Coll Elect Engn, Natl Lab Ind Control Technol, Hangzhou 310027, Peoples R China
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel fuzzy modeling strategy using the hybrid algorithm EPPSO based on the combination of Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) for control of nonlinear dynamical systems. The EPPSO is used to automatically design fuzzy controllers for nonlinear dynamical systems. In the simulation part, one multi-input multi-output (MIMO) plant control problem is performed. The performance of the suggested method is compared to that of EP, PSO and HGAPSO in the fuzzy controllers design. Simulation results demonstrate the superiority of the proposed method.
引用
收藏
页码：882 / 885
页数：4
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