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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 New results on periodic dynamics of memristor-based recurrent neural networks with time-varying delays 期刊论文 Neurocomputing, 2016, 卷号: Vol.218, 页码: 259-263 作者:  Duan, Lian;  Guo, Zhenyuan 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/31 Memristor-based recurrent neural network  Periodic solution  Global exponential stability   Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 页码: 2099-2109 作者:  Guo, Zhenyuan;  Wang, Jun;  Yan, Zheng 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09 Linear matrix inequality (LMI)  memristor  passification  passivity  recurrent neural network   Passivity and passification of memristor-based recurrent neural networks with time-varying delays 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2014, 卷号: Vol.25 No.11, 页码: 2099-2109 作者:  Guo, Z.;  Wang, J.;  Yan, Z. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Linear  matrix  inequality  (LMI)  memristor  passification  passivity  recurrent  neural  network.   Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays 期刊论文 Neural Networks and Learning Systems, IEEE Transactions on, 2014, 卷号: Vol.25 No.11, 页码: 2099-2109 作者:  Guo, ZY;  Wang, J;  Yan, Z 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/31 Linear matrix inequality (LMI)  memristor  passification  passivity  recurrent neural network  recurrent neural network.   Anti-synchronization control for memristor-based recurrent neural networks (EI收录) 会议论文 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 作者:  Li, Ning[1];  Cao, Jinde[1,2];  Zhou, Mengzhe[1] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/12 Delay control systems  Feedback control  Lyapunov functions  Memristors  Passive filters  Synchronization  Time delay  Time varying control systems  Time varying networks