Nonlinear adaptive control of interconnected systems using neural networks

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
Appears in Collections:	Staff Publications

There are no files associated with this item.

Check