Novel Heterogeneous Mode-Dependent Impulsive Synchronization for Piecewise T-S Fuzzy Probabilistic Coupled Delayed Neural Networks

This article investigates the heterogeneous impulsive synchronization for T-S fuzzy probabilistic coupled delayed neural networks (CDNNs) with mode-dependent parameters and piecewise membership functions. To begin with, a novel CDNNs model with adjustable coupling strength and probabilistic coupling...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2022-07, Vol.30 (7), p.2142-2156
Hauptverfasser:	Wang, Xiangxiang, Yu, Yongbin, Zhong, Shouming, Shi, Kaibo, Yang, Nijing, Zhang, Dingfa, Cai, Jingye, Tashi, Nyima
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coupling Couplings Delay effects Delays Fuzzy logic Heterogeneous impulsive synchronization Mathematical models mode-dependent parameters Neural networks Parameters piecewise membership functions probabilistic coupled delayed neural networks (CDNNs) Probabilistic logic Signal processing Switches Switching Synchronism Synchronization T-S fuzzy
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