A Sampled-data Stabilization Analysis on Memristive BAM Neural Networks for Memductance Function
出版年份 2023 全文链接
标题
A Sampled-data Stabilization Analysis on Memristive BAM Neural Networks for Memductance Function
作者
关键词
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出版物
INTERNATIONAL JOURNAL OF CONTROL
Volume -, Issue -, Pages 1-0
出版商
Informa UK Limited
发表日期
2023-10-28
DOI
10.1080/00207179.2023.2277348
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Interval stability and interval stabilization of linear stochastic systems with time‐varying delay
- (2021) Huasheng Zhang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Exponential and fixed‐time stabilization of memristive neural networks with mixed delays
- (2021) Yun Liu et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Novel results on global stability analysis for multiple time-delayed BAM neural networks under parameter uncertainties
- (2021) N. Mohamed Thoiyab et al. CHAOS SOLITONS & FRACTALS
- Exponential Stabilization of Fuzzy Memristive Neural Networks With Multiple Time Delays Via Intermittent Control
- (2021) Yin Sheng et al. IEEE Transactions on Systems Man Cybernetics-Systems
- An overview of stability analysis and state estimation for memristive neural networks
- (2020) Hongjian Liu et al. NEUROCOMPUTING
- Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay
- (2020) Guo-Quan Liu et al. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
- New insights on stability of sampled-data systems with time-delay
- (2020) Hong-Bing Zeng et al. APPLIED MATHEMATICS AND COMPUTATION
- Input-to-state stability analysis for memristive BAM neural networks with variable time delays
- (2019) Yong Zhao et al. PHYSICS LETTERS A
- Switching event-triggered control for global stabilization of delayed memristive neural networks: An exponential attenuation scheme
- (2019) Yingjie Fan et al. NEURAL NETWORKS
- Passivity Analysis for Uncertain BAM Neural Networks with Leakage, Discrete and Distributed Delays Using Novel Summation Inequality
- (2019) Sowmiya Chandran et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Global exponential stability analysis of discrete-time BAM neural networks with delays: A mathematical induction approach
- (2019) Er-yong Cong et al. NEUROCOMPUTING
- Exponential Stabilization of Inertial Memristive Neural Networks With Multiple Time Delays
- (2019) Yin Sheng et al. IEEE Transactions on Cybernetics
- LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: A non-fragile state estimation approach
- (2018) C. Maharajan et al. APPLIED MATHEMATICS AND COMPUTATION
- Synchronization of a Class of Memristive Stochastic Bidirectional Associative Memory Neural Networks with Mixed Time-Varying Delays via Sampled-Data Control
- (2018) Manman Yuan et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Synchronization Control of Memristive Multidirectional Associative Memory Neural Networks and Applications in Network Security Communication
- (2018) Weiping Wang et al. IEEE Access
- A New LMI Approach to Finite and Fixed Time Stabilization of High-Order Class of BAM Neural Networks with Time-Varying Delays
- (2018) Chaouki Aouiti et al. NEURAL PROCESSING LETTERS
- Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay
- (2017) Chuan Chen et al. NEURAL NETWORKS
- Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach
- (2017) S. Lakshmanan et al. NEUROCOMPUTING
- Exponential Stabilization of Memristive Neural Networks via Saturating Sampled-Data Control
- (2017) Sanbo Ding et al. IEEE Transactions on Cybernetics
- Passivity of memristor-based BAM neural networks with different memductance and uncertain delays
- (2016) R. Anbuvithya et al. Cognitive Neurodynamics
- Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions
- (2016) A. Chandrasekar et al. NEUROCOMPUTING
- New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays
- (2016) M. Syed Ali et al. NEUROCOMPUTING
- Synchronization of fuzzy bidirectional associative memory neural networks with various time delays
- (2015) K. Ratnavelu et al. APPLIED MATHEMATICS AND COMPUTATION
- Non-fragile synchronization of memristive BAM networks with random feedback gain fluctuations
- (2015) R. Anbuvithya et al. Communications in Nonlinear Science and Numerical Simulation
- The stabilization of BAM neural networks with time-varying delays in the leakage terms via sampled-data control
- (2015) Li Li et al. NEURAL COMPUTING & APPLICATIONS
- Passivity analysis of memristive neural networks with different memductance functions
- (2013) Ailong Wu et al. Communications in Nonlinear Science and Numerical Simulation
- Global robust stability analysis for BAM neural networks with time-varying delays
- (2013) Xiaolin Li et al. NEUROCOMPUTING
- Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions
- (2013) Ailong Wu et al. Advances in Difference Equations
- Computation of the Area of Memristor Pinched Hysteresis Loop
- (2012) Zdeněk Biolek et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Exponential Stabilization of Memristive Neural Networks With Time Delays
- (2012) Ailong Wu et al. IEEE Transactions on Neural Networks and Learning Systems
- Wirtinger’s inequality and Lyapunov-based sampled-data stabilization
- (2011) Kun Liu et al. AUTOMATICA
- LMI criteria on exponential stability of BAM neural networks with both time-varying delays and general activation functions
- (2010) Huiwei Wang et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- Experimental demonstration of associative memory with memristive neural networks
- (2010) Yuriy V. Pershin et al. NEURAL NETWORKS
- The missing memristor found
- (2008) Dmitri B. Strukov et al. NATURE
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