DocumentCode
2176490
Title
Direct adaptive control of non-affine nonlinear systems using multilayer neural networks
Author
Zhang, T. ; Ge, S.S. ; Hang, C.C.
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
1
fYear
1998
fDate
21-26 Jun 1998
Firstpage
515
Abstract
A direct adaptive control method is presented for a class of nonaffine nonlinear systems using multilayer neural networks (MNNs). The proposed controller ensures that the output of the system tracks a given bounded reference signal and the output tracking error converges to an ε-neighborhood of zero, while the stability of the closed-loop system is guaranteed by Lyapunov´s stability theory
Keywords
Lyapunov methods; adaptive control; closed loop systems; multilayer perceptrons; neurocontrollers; nonlinear control systems; stability; ϵ-neighborhood; Lyapunov stability theory; MNN; bounded reference signal; closed-loop system; direct adaptive control; multilayer neural networks; nonaffine nonlinear systems; output tracking error; stability; Adaptive control; Control systems; Geometry; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Stability; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.694721
Filename
694721
Link To Document