Decentralized adaptive control of nonlinear systems using neural networks

Author

Huang, S.N. ; Tan, K.K. ; Lee, T.H. ; Giam, T.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

Volume

2

fYear

2002

fDate

10-13 Dec. 2002

Firstpage

1757

Abstract

We develop a decentralized neural network (NN) controller for a class of large-scale nonlinear systems with the strong interconnections. The NNs are used to approximate unknown nonlinear functions in the system which may be not linearly parameterized. We prove that this NN structure can achieve a stable controller for the large-scale systems. In a comparison with Spooner and Passino (1999), we show that the proposed controller does not make any requirement upon the rate of the input gain for each subsystem.

Keywords

adaptive control; control system synthesis; decentralised control; function approximation; large-scale systems; neurocontrollers; nonlinear control systems; stability; Lyapunov function; decentralized adaptive control; large-scale systems; neural networks; nonlinear systems; stability; stable controller; strong interconnections; unknown nonlinear functions approximation; Adaptive control; Control systems; Distributed control; Equations; Large-scale systems; Neural networks; Nonlinear control systems; Nonlinear systems; Stability; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2002, Proceedings of the 41st IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-7516-5

Type

conf

DOI

10.1109/CDC.2002.1184776

Filename

1184776