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|Title:||Direct adaptive control for a class of MIMO nonlinear systems using neural networks||Authors:||Ge, S.S.
Multiple-input-multiple-output (MIMO) systems
Neural networks (NNs)
|Issue Date:||Nov-2004||Citation:||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|
|Appears in Collections:||Staff Publications|
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