An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters
暂无分享,去创建一个
Chee Peng Lim | Rajendran Samidurai | Grienggrai Rajchakit | Pharunyou Chanthorn | Usa Humphries | Ramalingam Sriraman | Pramet Kaewmesri | C. P. Lim | G. Rajchakit | R. Samidurai | R. Sriraman | U. Humphries | P. Kaewmesri | Pharunyou Chanthorn
[1] Guoliang Chen,et al. Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components , 2016, J. Frankl. Inst..
[2] Fuad E. Alsaadi,et al. Stochastic stability for distributed delay neural networks via augmented Lyapunov-Krasovskii functionals , 2018, Appl. Math. Comput..
[3] Jinde Cao,et al. Global asymptotic stability of neural networks with transmission delays , 2000, Int. J. Syst. Sci..
[4] Q. Song,et al. Global dissipativity of neural networks with both variable and unbounded delays , 2005 .
[5] Shen-Ping Xiao,et al. Stability analysis of generalized neural networks with time-varying delays via a new integral inequality , 2015, Neurocomputing.
[6] A. Arunkumar,et al. Robust stochastic stability of discrete-time fuzzy Markovian jump neural networks. , 2014, ISA transactions.
[7] Junfeng Chen,et al. Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays , 2015, Neurocomputing.
[8] R. Rakkiyappan,et al. Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays , 2016, Complex..
[9] Rathinasamy Sakthivel,et al. Robust passivity analysis of fuzzy Cohen-Grossberg BAM neural networks with time-varying delays , 2011, Appl. Math. Comput..
[10] James Lam,et al. Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks , 2011, IEEE Transactions on Neural Networks.
[11] Rajendran Samidurai,et al. Dissipativity of discrete-time BAM stochastic neural networks with Markovian switching and impulses , 2013, J. Frankl. Inst..
[12] Cheng Wang,et al. Delay-dependent non-fragile robust stabilization and H∞ control of uncertain stochastic systems with time-varying delay and nonlinearity , 2011, J. Frankl. Inst..
[13] Jun Wang,et al. Global dissipativity of continuous-time recurrent neural networks with time delay. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Ju H. Park,et al. Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays , 2010 .
[15] Simon X. Yang,et al. Robust stability criteria for uncertain stochastic neural networks of neutral-type with interval time-varying delays , 2011, Neural Computing and Applications.
[16] Rajendran Samidurai,et al. Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions , 2019, Math. Comput. Simul..
[17] Xuerong Mao,et al. Stability of stochastic delay neural networks , 2001, J. Frankl. Inst..
[18] Song Zhu,et al. Passivity analysis of stochastic delayed neural networks with Markovian switching , 2011, Neurocomputing.
[19] Yongduan Song,et al. New results on stability analysis of delayed systems derived from extended wirtinger's integral inequality , 2017, Neurocomputing.
[20] Yunliang Wei,et al. Further results on dissipativity and stability analysis of Markov jump generalized neural networks with time-varying interval delays , 2018, Appl. Math. Comput..
[21] Song Zhu,et al. Robust input-to-state stability of neural networks with Markovian switching in presence of random disturbances or time delays , 2017, Neurocomputing.
[22] Muthukumar Palanisamy,et al. Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays , 2016, J. Frankl. Inst..
[23] Wei Xing Zheng,et al. Stability Analysis of Time-Delay Neural Networks Subject to Stochastic Perturbations , 2013, IEEE Transactions on Cybernetics.
[24] Hamid Reza Karimi,et al. New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[25] 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.
[26] Bo Wang,et al. New criteria of stability analysis for generalized neural networks subject to time-varying delayed signals , 2017, Appl. Math. Comput..
[27] R. Sriraman,et al. Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays , 2019, J. Artif. Intell. Soft Comput. Res..
[28] He Huang,et al. Reduced-Order Filtering of Delayed Static Neural Networks With Markovian Jumping Parameters , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[29] J. Willems. Dissipative dynamical systems part I: General theory , 1972 .
[30] Oh-Min Kwon,et al. Stability and Stabilization Criteria for Sampled-data Control System via Augmented Lyapunov-Krasovskii Functionals , 2018, International Journal of Control, Automation and Systems.
[31] Ju H. Park,et al. Stability and dissipativity analysis of static neural networks with interval time-varying delay , 2015, J. Frankl. Inst..
[32] Jinde Cao,et al. Exponential Stability of Stochastic Neural Networks With Both Markovian Jump Parameters and Mixed Time Delays , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[33] Sabri Arik,et al. An analysis of global asymptotic stability of delayed cellular neural networks , 2002, IEEE Trans. Neural Networks.
[34] R. Sriraman,et al. Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays , 2020, Math. Comput. Simul..
[35] Ruoxia Li,et al. State estimation for memristor-based neural networks with time-varying delays , 2015, Int. J. Mach. Learn. Cybern..
[36] Jinde Cao,et al. Robust Exponential Stability of Markovian Jump Impulsive Stochastic Cohen-Grossberg Neural Networks With Mixed Time Delays , 2010, IEEE Transactions on Neural Networks.
[37] Z. Liu,et al. Delay-dependent robust stability and H8 control of jump linear systems , 2001 .
[38] Yong-Yan Cao,et al. Delay-dependent stochastic stability and H∞ analysis for time-delay systems with Markovian jumping parameters , 2003, J. Frankl. Inst..
[39] Jinde Cao,et al. Global point dissipativity of neural networks with mixed time-varying delays. , 2006, Chaos.
[40] Sang-Moon Lee,et al. Enhanced stability criteria of neural networks with time-varying delays via a generalized free-weighting matrix integral inequality , 2018, J. Frankl. Inst..
[41] Huijun Gao,et al. Novel Robust Stability Criteria for Stochastic Hopfield Neural Networks With Time Delays , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[42] R. Sriraman,et al. Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays , 2019, J. Frankl. Inst..
[43] Ju H. Park,et al. Robust dissipativity analysis of neural networks with time-varying delay and randomly occurring uncertainties , 2012 .
[44] P. Moylan,et al. Dissipative Dynamical Systems: Basic Input-Output and State Properties , 1980 .
[45] Zhenjiang Zhao,et al. Passivity analysis of stochastic neural networks with time-varying delays and leakage delay , 2014, Neurocomputing.