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

  • 【作者】Xiangxiang Wang,Yongbin Yu,Shouming Zhong,Kaibo Shi,Nijing Yang,Dingfa Zhang,Jingye Cai,Nyima Tashi
  • 【作者单位】1 School of Information and Software Engineering, University of Electronic Science and Technology of China, 12599 Chengdu, Sichuan, China, 610054 (e-mail: wxxlongtime@gmail.com) 2 School of Information and Software Engineering, University of Electronic Science and Technology of China, 12599 Chengdu, China, (e-mail: ybyu@uestc.edu.cn) 3 School of Mathematics Sciences, University of Electronic Science and Technology of China, 12599 Chengdu, China, 611731 (e-mail: zhongsm@uestc.edu.cn) 4 School of Information Science and Engineering, Chengdu University, 74707 Chengdu, Sichuan, China, (e-mail: skbs111@163.com) 5 School of Information and Software Engineering, University of Electronic Science and Technology of China, 12599 Chengdu, China, (e-mail: yang_nijing@163.com) 6 Chengdu New Economic Development Commission, Chengdu New Economic development Commission, Chengdu, China, (e-mail: zhangdingfa@pku.edu.cn) 7 School of Information and Software Engineering, University of Electronic Science and Technology of China, 12599 Chengdu, Sichuan, China, (e-mail: jycai@uestc.edu.cn) 8 School of Information Science and Technology, Tibet University, 91597 Lhasa, Xizang, China, (e-mail: nmzx@tibet.edu.cn)
  • 【年份】2021
  • 【页码】1
  • 【ISSN】1063-6706
  • 【关键词】Synchronization Switches Delays Couplings Artificial neural networks Probabilistic logic Delay effects Impulsive synchronization probabilistic coupled delayed neural networks heterogeneous T-S fuzzy piecewise membership functions mode-dependent parameters 
  • 【摘要】 This paper investigates the heterogeneous impulsive synchronization for T-S fuzzy probabilistic coupled delayed neural networks with mode-dependent parameters and piecewise membership functions. To begin with, a novel CDNNs model considering probabi...
  • 【文献类型】 期刊
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