Decentralized stabilization of neural network linearly interconnected systems via T-S fuzzy control

作者: Feng-Hsiag Hsiao , Yew-Wen Liang , Sheng-Dong Xu , Gwo-Chuan Lee

DOI: 10.1115/1.2234492

关键词:

摘要: The stabilization problem is considered in this study for a neuralnetwork (NN) linearly interconnected system that consists of number NN models. First, linear difference inclusion (LDI) state-space representation established the dynamics each model. Then, based on LDI representation, stability criterion terms Lyapunov’s direct method derived to guarantee asymptotic closed-loop systems. Subsequently, according and decentralized control scheme, set Takagi-Sugeno (T-S) fuzzy controllers synthesized stabilize system. Finally, numerical example with simulations given demonstrate concepts discussed throughout paper. DOI: 10.1115/1.2234492

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