Relaxed Exponential Stabilization for Coupled Memristive Neural Networks With Connection Fault and Multiple Delays via Optimized Elastic Event-Triggered Mechanism
【作者单位】1 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China. 2 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China (e-mail: ybyu@uestc.edu.cn) 3 School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. 4 School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu 610106, China, also with the Key Laboratory of Pattern Recognition and Intelligent Information Processing of Sichuan, Chengdu University, Chengdu 610106, China, and also with the Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China. 5 School of Information Science and Technology, Tibet University, Lhasa 850012, China.
【摘要】 This article investigates the problem of relaxed exponential stabilization for coupled memristive neural networks with connection fault and multiple delays via an optimized elastic event-triggered mechanism . The connection fault of the two or some ...
