Lag quasi-synchronization for memristive neural networks with switching jumps mismatch
出版年份 2016 全文链接
标题
Lag quasi-synchronization for memristive neural networks with switching jumps mismatch
作者
关键词
Memristive neural networks, Lag quasi-synchronization, Switching jumps mismatch
出版物
NEURAL COMPUTING & APPLICATIONS
Volume 28, Issue 12, Pages 4011-4022
出版商
Springer Nature
发表日期
2016-04-14
DOI
10.1007/s00521-016-2291-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method
- (2016) Zhanshan Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Non-fragile synchronization of memristive BAM networks with random feedback gain fluctuations
- (2015) R. Anbuvithya et al. Communications in Nonlinear Science and Numerical Simulation
- Dissipativity analysis of memristive neural networks with time-varying delays and randomly occurring uncertainties
- (2015) Ruoxia Li et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Exponential lag synchronization for delayed memristive recurrent neural networks
- (2015) Guodong Zhang et al. NEUROCOMPUTING
- Stochastic exponential synchronization control of memristive neural networks with multiple time-varying delays
- (2015) Sanbo Ding et al. NEUROCOMPUTING
- Reliable stabilization for memristor-based recurrent neural networks with time-varying delays
- (2015) K. Mathiyalagan et al. NEUROCOMPUTING
- Combined H∞ and passivity state estimation of memristive neural networks with random gain fluctuations
- (2015) Rathinasamy Sakthivel et al. NEUROCOMPUTING
- Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method
- (2015) Zhanshan Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
- (2015) Shukai Duan et al. IEEE Transactions on Neural Networks and Learning Systems
- Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
- (2015) Leimin Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling
- (2015) Zhenyuan Guo et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators
- (2014) Shiping Wen et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- On the periodic dynamics of memristor-based neural networks with time-varying delays
- (2014) Jiejie Chen et al. INFORMATION SCIENCES
- Synchronization control of memristor-based recurrent neural networks with perturbations
- (2014) Weiping Wang et al. NEURAL NETWORKS
- Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
- (2014) A. Chandrasekar et al. NEURAL NETWORKS
- Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control
- (2014) Guodong Zhang et al. NEURAL NETWORKS
- Periodically intermittent control on robust exponential synchronization for switched interval coupled networks
- (2014) Ning Li et al. NEUROCOMPUTING
- Finite-time lag synchronization of delayed neural networks
- (2014) Junjian Huang et al. NEUROCOMPUTING
- Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
- (2014) Miao Hu et al. IEEE Transactions on Neural Networks and Learning Systems
- Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
- (2013) Huaiqin Wu et al. DISCRETE DYNAMICS IN NATURE AND SOCIETY
- Exponential Synchronization of Delayed Neural Networks With Discontinuous Activations
- (2013) Xinsong Yang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Analysis and design of winner-take-all behavior based on a novel memristive neural network
- (2013) Ailong Wu et al. NEURAL COMPUTING & APPLICATIONS
- Global exponential stability of a class of memristive neural networks with time-varying delays
- (2013) Xin Wang et al. NEURAL COMPUTING & APPLICATIONS
- Exponential synchronization of coupled memristive neural networks with time delays
- (2013) Guan Wang et al. NEURAL COMPUTING & APPLICATIONS
- Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays
- (2013) Zhenyuan Guo et al. IEEE Transactions on Neural Networks and Learning Systems
- Dynamic behaviors of memristor-based delayed recurrent networks
- (2012) Shiping Wen et al. NEURAL COMPUTING & APPLICATIONS
- Resistance switching memories are memristors
- (2011) Leon Chua APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
- Nonlinear Dynamics of Memristor Oscillators
- (2011) Fernando Corinto et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch
- (2011) Wangli He et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures
- (2011) Zhanshan Wang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches
- (2011) Xiaoyang Liu et al. NEURAL NETWORKS
- Global Asymptotic Stability of Reaction–Diffusion Cohen–Grossberg Neural Networks With Continuously Distributed Delays
- (2009) Zhanshan Wang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- A practical approach to robust impulsive lag synchronization between different chaotic systems
- (2008) Zhang Hua-Guang et al. Chinese Physics B
- The missing memristor found
- (2008) Dmitri B. Strukov et al. NATURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now