ONLINE TUNING OF FUZZY-NEURAL NETWORK FOR ADAPTIVE-CONTROL OF NONLINEAR DYNAMICAL-SYSTEMS

Authors
LEU YG LEE TT WANG WY
Citation
Yg. Leu et al., ONLINE TUNING OF FUZZY-NEURAL NETWORK FOR ADAPTIVE-CONTROL OF NONLINEAR DYNAMICAL-SYSTEMS, IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, 27(6), 1997, pp. 1034-1043
Citations number
32
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Robotics & Automatic Control
Journal title
IEEE transactions on systems, man and cybernetics. Part B. Cybernetics → ACNP
ISSN journal
10834419
Volume
27
Issue
6
Year of publication
1997
Pages
1034 - 1043
Database
ISI
SICI code
1083-4419(1997)27:6<1034:OTOFNF>2.0.ZU;2-8
Abstract
In this paper, the adaptive fuzzy-neural controllers tuned online for a class of unknown nonlinear dynamical systems are proposed. To approx imate the unknown nonlinear dynamical systems, the fuzzy-neural approx imator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore , the control performance of the controller is improved. Several examp les are simulated in order to confirm the effectiveness and applicabil ity of the proposed methods in this paper.