A hybrid fuzzy cerebellar model articulation controller based autonomous controller

被引：21

作者：

Guo, C ^{[1
]}

Ye, Z

Sun, ZQ

Sarkar, P

Jamshidi, M

机构：

[1] Dalian Maritime Univ, Lab Simulat & Control Navigat Syst, Dalian 116026, Peoples R China

[2] Tsing Hua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China

[3] Univ New Mexico, Ctr Autonomous Control Engn, Albuquerque, NM 87131 USA

[4] Univ New Mexico, Dept Engn Mech, Albuquerque, NM 87131 USA

[5] Univ New Mexico, Dept Comp & Elect Engn, Albuquerque, NM 87131 USA

[6] Univ New Mexico, NASA, Ctr Autonomous Control Engn, Albuquerque, NM 87131 USA

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2002年 / 28卷 / 01期

基金：

美国国家航空航天局;

关键词：

cerebellar model articulation controller; fuzzified CMAC; intelligent control; multimode control; integrated algorithm; neuro-fuzzy control; autonomous control;

D O I：

10.1016/S0045-7906(00)00037-9

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a hybrid control architecture and an algorithm which integrates cerebellar model articulation controller (CMAC) or fuzzified CMAC with fuzzy logic control and bang-bang control under an intelligent supervisor. The intelligent control strategy separately dealing vith dynamic and steady state responses of control system is realized. The neuro-fuzzy controller has self-learning abilities in real time and is applied to ship steering and industrial process plants. Simulation case study results demonstrate the effectiveness and robustness of the integrated intelligent control algorithms. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：1 / 16

页数：16

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