報告題目：Stabilization and Synchronization of Neural Networks via Impulsive Adaptive Control

報告人：譚學剛

報告時間：2023年12月15日16:20-17:00

報告地點：數(shù)學與統(tǒng)計學院四樓會議室

報告摘要：This talk addresses the stabilization and synchronization problems of coupled neural networks (NNs) via an impulsive adaptive control (IAC) strategy. Unlike the traditional fixed-gain-based impulsive methods, a novel discrete-time-based adaptive updating law for the impulsive gain is designed to maintain the stabilization and synchronization performance of the coupled NNs, where the adaptive generator only intermittently updates its data at the impulsive instants. Several stabilization and synchronization criteria for the coupled NNs are established based on the impulsive adaptive feedback protocols. Additionally, the corresponding convergence analysis are also provided. Finally, the effectiveness of the obtained theoretical results is illustrated using two comparison simulation examples.

報告人簡介：譚學剛，海南大學副研究員，博士研究生導(dǎo)師，IEEE會員，中國自動化學會會員，海南省高層次人才，主要從事群體智能分布式協(xié)同控制與優(yōu)化方面的研究。迄今在IEEE（TNNLS/TCYB/TSMCA/TCNS/TNSE/TCSII）等國際期刊上發(fā)表SCI論文20余篇，其中IEEE匯刊9篇, ESI高被引論文3篇。主持國家自然科學基金、海南省自然科學基金各1項，擔任包括Automatica、IEEE (TAC/TCYB/TIE/TCNS/TFS/TCSI/TCDS/TM/TCSII)在內(nèi)的多個國際期刊審稿人。

邀請人：魏代俊