Decentralized control of a class of large-scale nonlinear systems using neural networks

This paper designs a decentralized neural network (NN) controller for a class of nonlinear large-scale systems, in which strong interconnections are involved. NNs are used to handle unknown functions. The proposed scheme is proved guaranteeing the boundedness of the closed-loop subsystems using only...

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Bibliographic Details
Published inAutomatica (Oxford) Vol. 41; no. 9; pp. 1645 - 1649
Main Authors Huang, S.N., Tan, K.K., Lee, T.H.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.09.2005
Elsevier
Subjects
Adaptative systems
Adaptive control
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Exact sciences and technology
Neural networks
Nonlinear systems
Uncertainty
Uncertainty
Neural networks
Adaptive control
Nonlinear systems
Non linear control
Feedback regulation
Neural network
Non linear system
Neurocontrollers
Uncertain system
Decentralized control
Intelligent control
Large scale system
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Summary:This paper designs a decentralized neural network (NN) controller for a class of nonlinear large-scale systems, in which strong interconnections are involved. NNs are used to handle unknown functions. The proposed scheme is proved guaranteeing the boundedness of the closed-loop subsystems using only local feedback signals.
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2005.02.010