Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals
暂无分享,去创建一个
[1] D. D. Perlmutter,et al. Stability of time‐delay systems , 1972 .
[2] Leon O. Chua,et al. Cellular neural networks: applications , 1988 .
[3] Andrzej Cichocki,et al. Neural networks for optimization and signal processing , 1993 .
[4] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[5] Shu-Cherng Fang,et al. Neurocomputing with time delay analysis for solving convex quadratic programming problems , 2000, IEEE Trans. Neural Networks Learn. Syst..
[6] K. Gu. A further refinement of discretized Lyapunov functional method for the stability of time-delay systems , 2001 .
[7] Ju H. Park,et al. On improved delay-dependent robust control for uncertain time-delay systems , 2004, IEEE Transactions on Automatic Control.
[8] Min Wu,et al. Stability Analysis for Neural Networks With Time-Varying Interval Delay , 2007, IEEE Transactions on Neural Networks.
[9] Zhang Yi,et al. Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function , 2011, IEEE Transactions on Neural Networks.
[10] PooGyeon Park,et al. Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..
[11] Ju H. Park,et al. Stability for Neural Networks With Time-Varying Delays via Some New Approaches , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[12] Min Wu,et al. Stability analysis for control systems with aperiodically sampled data using an augmented Lyapunov functional method , 2013 .
[13] Ju H. Park,et al. Analysis on delay-dependent stability for neural networks with time-varying delays , 2013, Neurocomputing.
[14] Frédéric Gouaisbaut,et al. Wirtinger-based integral inequality: Application to time-delay systems , 2013, Autom..
[15] Huaguang Zhang,et al. A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[16] S. M. Lee,et al. New augmented Lyapunov–Krasovskii functional approach to stability analysis of neural networks with time-varying delays , 2014 .
[17] Q. Henry Wu,et al. Stability analysis of sampled-data systems considering time delays and its application to electric power markets , 2014, J. Frankl. Inst..
[18] Qing-Long Han,et al. Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach , 2014, Neural Networks.
[19] Min Wu,et al. Novel stability criteria for recurrent neural networks with time-varying delay , 2014, Neurocomputing.
[20] Min Wu,et al. Delay-Dependent Stability Criteria for Generalized Neural Networks With Two Delay Components , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[21] Huaguang Zhang,et al. Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[22] Ju H. Park,et al. On stability criteria for neural networks with time-varying delay using Wirtinger-based multiple integral inequality , 2015, J. Frankl. Inst..
[23] Min Wu,et al. Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay , 2015, IEEE Transactions on Automatic Control.
[24] Ju H. Park,et al. Stability and dissipativity analysis of static neural networks with interval time-varying delay , 2015, J. Frankl. Inst..
[25] Hieu Minh Trinh,et al. An enhanced stability criterion for time-delay systems via a new bounding technique , 2015, J. Frankl. Inst..
[26] PooGyeon Park,et al. Auxiliary function-based integral inequalities for quadratic functions and their applications to time-delay systems , 2015, J. Frankl. Inst..
[27] Jin-Hua She,et al. New results on stability analysis for systems with discrete distributed delay , 2015, Autom..
[28] H. Trinh,et al. Refined Jensen-based inequality approach to stability analysis of time-delay systems , 2015 .
[29] Yong He,et al. Stability analysis of systems with time-varying delay via relaxed integral inequalities , 2016, Syst. Control. Lett..
[30] Hieu Minh Trinh,et al. New inequality-based approach to passivity analysis of neural networks with interval time-varying delay , 2016, Neurocomputing.
[31] Yong He,et al. Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality , 2016, Neural Networks.
[32] Huaguang Zhang,et al. Stability criterion for delayed neural networks via Wirtinger-based multiple integral inequality , 2016, Neurocomputing.
[33] Jin-Hoon Kim,et al. Further improvement of Jensen inequality and application to stability of time-delayed systems , 2016, Autom..
[34] Yong He,et al. Delay-Variation-Dependent Stability of Delayed Discrete-Time Systems , 2016, IEEE Transactions on Automatic Control.
[35] Yong He,et al. Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[36] Tae H. Lee,et al. Improved criteria for sampled-data synchronization of chaotic Lur’e systems using two new approaches , 2017 .
[37] Yong He,et al. Notes on Stability of Time-Delay Systems: Bounding Inequalities and Augmented Lyapunov-Krasovskii Functionals , 2017, IEEE Transactions on Automatic Control.
[38] Huaguang Zhang,et al. Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[39] Yin Sheng,et al. Delay-Dependent Global Exponential Stability for Delayed Recurrent Neural Networks , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[40] Min Wu,et al. Delay-dependent stability analysis of neural networks with time-varying delay: A generalized free-weighting-matrix approach , 2017, Appl. Math. Comput..
[41] Ju H. Park,et al. Stability Analysis of Sampled-Data Systems via Free-Matrix-Based Time-Dependent Discontinuous Lyapunov Approach , 2017, IEEE Transactions on Automatic Control.
[42] Ju H. Park,et al. New Methods of Fuzzy Sampled-Data Control for Stabilization of Chaotic Systems , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.