Title: Robustness design of fuzzy control for nonlinear multiple time-delay large-scale systems via neural-network-based approach
Authors: Hsiao, Feng-Hsiag
Xu, Sheng-Dong
Lin, Chia-Yen
Tsai, Zhi-Ren
電控工程研究所
Institute of Electrical and Control Engineering
Keywords: delay-dependent stability criterion;large-scale systems;modeling error;neural network (NN)
Issue Date: 1-Feb-2008
Abstract: The stabilization problem is considered in this correspondence for a nonlinear multiple time-delay large-scale system. First, the neural-network (NN) model is employed to approximate each subsystem. Then, a linear differential inclusion (LDI) state-space representation is established for the dynamics of each NN model. According to the LDI state-space representation, a robustness design of fuzzy control is proposed to overcome the effect of modeling errors between subsystems and NN models. Next, in terms of Lyapunov's direct method, a delay-dependent stability criterion is derived to guarantee the asymptotic stability of nonlinear multiple time-delay large-scale systems. Finally, based on this criterion and the decentralized control scheme, a set of fuzzy controllers is synthesized to stabilize the nonlinear multiple time-delay large-scale system.
URI: http://dx.doi.org/10.1109/TSMCB.2006.890304
http://hdl.handle.net/11536/9708
ISSN: 1083-4419
DOI: 10.1109/TSMCB.2006.890304
Journal: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume: 38
Issue: 1
Begin Page: 244
End Page: 251
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