Adaptive intelligent control of MIMO nonlinear systems based on generalized fuzzy neural network

Author

Gao, Yang ; Er, Meng Joo

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

3

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

2333

Lastpage

2338

Abstract

This paper presents a robust adaptive fuzzy neural controller (AFNC) suitable for control of uncertain multi-input-multi-output (MIMO) nonlinear systems. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure, (2) fast online learning ability of uncertain MIMO nonlinear systems; and (3) adaptive robust control. Two simulation examples are used to demonstrate excellent performance of the proposed controller

Keywords

MIMO systems; adaptive control; fuzzy control; fuzzy neural nets; intelligent control; neurocontrollers; nonlinear systems; robust control; self-organising feature maps; uncertain systems; MIMO system; adaptive control; fuzzy control; fuzzy neural networks; intelligent control; neural networks; neurocontrol; nonlinear systems; online learning; robust control; self-organizing networks; uncertain systems; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Intelligent control; MIMO; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007506

Filename

1007506