標題: Decentralized stabilization of neural network linearly interconnected systems via T-S fuzzy control
作者: Hsiao, Feng-Hsiag
Liang, Yew-Wen
Xu, Sheng-Dong
Lee, Gwo-Chuan
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 1-May-2007
摘要: The stabilization problem is considered in this study for a neural-network (NN) linearly interconnected system that consists of a number of NN models. First, a linear difference inclusion (LDI) state-space representation is established for the dynamics of each NN model. Then, based on the LDI state-space representation, a stability criterion in terms of Lyapunovs direct method is derived to guarantee the asymptotic stability of closed-loop NN linearly interconnected systems. Subsequently, according to this criterion and the decentralized control.scheme, a set of Takagi-Sugeno (T-S) fuzzy controllers is synthesized to stabilize the NN linearly interconnected system.. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper.
URI: http://dx.doi.org/10.1115/1.2234492
http://hdl.handle.net/11536/10876
ISSN: 0022-0434
DOI: 10.1115/1.2234492
期刊: JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
Volume: 129
Issue: 3
起始頁: 343
結束頁: 351
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