Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2004.837561
Title: Direct adaptive control for a class of MIMO nonlinear systems using neural networks
Authors: Ge, S.S. 
Li, G.Y.
Zhang, J. 
Lee, T.H. 
Keywords: Adaptive control
Discrete-time systems
Multiple-input-multiple-output (MIMO) systems
Neural networks (NNs)
Issue Date: Nov-2004
Source: Ge, S.S., Li, G.Y., Zhang, J., Lee, T.H. (2004-11). Direct adaptive control for a class of MIMO nonlinear systems using neural networks. IEEE Transactions on Automatic Control 49 (11) : 2001-2006. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2004.837561
Abstract: In this note, direct adaptive neural network (NN) control is studied for a class of multiple-input-multiple-output nonlinear systems based on input-output discrete-time model with unknown interconnections between subsystems. By finding an orthogonai matrix to tune the NN weights, the closed-loop system is proven to be semiglobally uniformly ultimately bounded. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameter. © 2004 IEEE.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/55643
ISSN: 00189286
DOI: 10.1109/TAC.2004.837561
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