Extended dissipative analysis for memristive neural networks with two additive time-varying delay components
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Zhengwen Tu | Ruoxia Li | Hongzhi Wei | Chunrong Chen | Zhengwen Tu | Hongzhi Wei | Ruoxia Li | Chunrong Chen
[1] L. Chua. Memristor-The missing circuit element , 1971 .
[2] Chua. Memristor-The Missing Circuit Element LEON 0 , 1971 .
[3] Lihua Xie,et al. Output feedback H∞ control of systems with parameter uncertainty , 1996 .
[4] K. Gu. An integral inequality in the stability problem of time-delay systems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).
[5] B. Brogliato,et al. Dissipative Systems Analysis and Control , 2000 .
[6] Jinde Cao,et al. Global exponential stability and periodicity of recurrent neural networks with time delays , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[7] Shengyuan Xu,et al. A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.
[8] X. Guan,et al. New results on stability analysis of neural networks with time-varying delays , 2006 .
[9] James Lam,et al. Corrigendum to "Stability analysis for continuous systems with two additive time-varying delay components": [Systems Control Lett. 56(2007) 16-24] , 2007, Syst. Control. Lett..
[10] Yu Zhao,et al. Asymptotic stability analysis of neural networks with successive time delay components , 2008, Neurocomputing.
[11] D. Stewart,et al. The missing memristor found , 2009, Nature.
[12] R. Lu,et al. Passivity analysis of stochastic time-delay neural networks , 2010 .
[13] Huaguang Zhang,et al. Improved Robust Stability Criteria for Delayed Cellular Neural Networks via the LMI Approach , 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.
[14] Qing-Long Han,et al. New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components , 2011, IEEE Transactions on Neural Networks.
[15] James Lam,et al. α-Dissipativity analysis of singular time-delay systems , 2011, Autom..
[16] PooGyeon Park,et al. Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..
[17] Peng Shi,et al. A delay decomposition approach to L2-Linfinity filter design for stochastic systems with time-varying delay , 2011, Autom..
[18] S. M. Lee,et al. On improved passivity criteria of uncertain neural networks with time-varying delays , 2012 .
[19] M. Kchaou,et al. Delay‐dependent stability and robust L2 −L ∞ control for a class of fuzzy descriptor systems with time‐varying delay , 2013 .
[20] Shengyuan Xu,et al. Filtering of Markovian Jump Delay Systems Based on a New Performance Index , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.
[21] Ju H. Park,et al. Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays , 2014, Neurocomputing.
[22] R. Rakkiyappan,et al. Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays , 2014, Neural Processing Letters.
[23] Lihong Huang,et al. Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions , 2014, Neural Networks.
[24] Ju H. Park,et al. State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory , 2014, Complex..
[25] Jinde Cao,et al. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach , 2014, Neural Networks.
[26] Jing Wang,et al. Fuzzy dissipative control for nonlinear Markovian jump systems via retarded feedback , 2014, J. Frankl. Inst..
[27] Rathinasamy Sakthivel,et al. Robust $$L_2-L_{\infty }$$L2-L∞ Control for Uncertain Systems with Additive Delay Components , 2015, Circuits Syst. Signal Process..
[28] Jinde Cao,et al. Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[29] Ruoxia Li,et al. State estimation for memristor-based neural networks with time-varying delays , 2015, Int. J. Mach. Learn. Cybern..
[30] Guoliang Chen,et al. Improved passivity analysis for neural networks with Markovian jumping parameters and interval time-varying delays , 2015, Neurocomputing.
[31] Rathinasamy Sakthivel,et al. Combined H∞ and passivity state estimation of memristive neural networks with random gain fluctuations , 2015, Neurocomputing.
[32] Guodong Zhang,et al. Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[33] Sanbo Ding,et al. Stochastic exponential synchronization control of memristive neural networks with multiple time-varying delays , 2015, Neurocomputing.
[34] Rong Yao,et al. Weak, modified and function projective synchronization of chaotic memristive neural networks with time delays , 2015, Neurocomputing.
[35] Guodong Zhang,et al. Passivity analysis for memristor-based recurrent neural networks with discrete and distributed delays. , 2015, Neural networks : the official journal of the International Neural Network Society.
[36] Jinde Cao,et al. Passivity analysis of memristive neural networks with probabilistic time-varying delays , 2016, Neurocomputing.
[37] Jinde Cao,et al. Dissipativity analysis of memristive neural networks with time‐varying delays and randomly occurring uncertainties , 2016 .
[38] Jinde Cao,et al. Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term , 2016, Appl. Math. Comput..
[39] Ruoxia Li,et al. Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control , 2016, Int. J. Mach. Learn. Cybern..
[40] R. Rakkiyappan,et al. Stability analysis of memristor-based complex-valued recurrent neural networks with time delays , 2016, Complex..
[41] Huaguang Zhang,et al. Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[42] Jinde Cao,et al. Lag Synchronization of Memristor-Based Coupled Neural Networks via $\omega $ -Measure , 2016, IEEE Transactions on Neural Networks and Learning Systems.