Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69783
Title: Decentralized adaptive control of nonlinear systems using neural networks
Authors: Huang, S.N. 
Tan, K.K. 
Lee, T.H. 
Giam, T.S.
Keywords: Decentralized control
Large-scale systems
Neural networks
Stability
Issue Date: 2002
Source: Huang, S.N.,Tan, K.K.,Lee, T.H.,Giam, T.S. (2002). Decentralized adaptive control of nonlinear systems using neural networks. Proceedings of the IEEE Conference on Decision and Control 2 : 1757-1761. ScholarBank@NUS Repository.
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 [3], we show that the proposed controller does not make any requirement upon the rate of the input gain for each subsystem as in [3].
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/69783
ISSN: 01912216
Appears in Collections:Staff Publications

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