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|Title:||Neural network learning algorithm for a class of interconnected nonlinear systems|
|Authors:||Huang, S.N. |
Neural network learning
|Citation:||Huang, S.N., Tan, K.K., Lee, T.H. (2009-01). Neural network learning algorithm for a class of interconnected nonlinear systems. Neurocomputing 72 (4-6) : 1071-1077. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neucom.2008.03.013|
|Abstract:||In this paper, an adaptive neural network algorithm is developed for a class of interconnected nonlinear systems. Neural networks (NNs) are used to approximate the unknown nonlinear functions and interconnections in the subsystems. A systematic approach is established to synthesize the adaptive NN learning control scheme that ensures the boundedness of all the signals in the closed-loop system. The effectiveness of the proposed scheme is demonstrated by computer simulations. © 2008 Elsevier B.V. All rights reserved.|
|Appears in Collections:||Staff Publications|
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