Please use this identifier to cite or link to this item: https://doi.org/10.1109/TNN.2005.857948
Title: Nonlinear adaptive control of interconnected systems using neural networks
Authors: Huang, S.N. 
Tan, K.K. 
Lee, T.H. 
Keywords: Adaptive control
Interconnected systems
Neural networks (NNs)
Stability
Issue Date: Jan-2006
Citation: Huang, S.N., Tan, K.K., Lee, T.H. (2006-01). Nonlinear adaptive control of interconnected systems using neural networks. IEEE Transactions on Neural Networks 17 (1) : 243-246. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2005.857948
Abstract: In this letter, we solve the problem of decentralized adaptive asymptotic tracking for a class of large scale systems with significant nonlinearities and uncertainties. Neural networks (NNs) are used as a control part to cancel the effect of the unknown nonlinearity. Semiglobal asymptotic stability results are obtained and the tracking error converges to zero. © 2006 IEEE.
Source Title: IEEE Transactions on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/56813
ISSN: 10459227
DOI: 10.1109/TNN.2005.857948
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