Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2003.811258
Title: Decentralized control design for large-scale systems with strong interconnections using neural networks
Authors: Huang, S. 
Tan, K.K. 
Lee, T.H. 
Keywords: Adaptive control
Decentralized control
Neural networks
Issue Date: May-2003
Source: Huang, S., Tan, K.K., Lee, T.H. (2003-05). Decentralized control design for large-scale systems with strong interconnections using neural networks. IEEE Transactions on Automatic Control 48 (5) : 805-810. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2003.811258
Abstract: We propose a decentralized neural-network (NN) controller for a class of large-scale nonlinear systems with the strong interconnections. The NNs are used to approximate the unknown subsystems and interconnections. Due to the functional approximation capabilities of NNs, the additional precautions are not required to be made for avoiding the possible control singularity problems. Semiglobal asymptotic stability results are obtained and the tracking error converges to zero. Furthermore, the issue of transient performance of the subsystems is also addressed under an analytical framework.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/55501
ISSN: 00189286
DOI: 10.1109/TAC.2003.811258
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