Global stability of coupled Markovian switching reaction–diffusion systems on networks☆
暂无分享,去创建一个
Yonggui Kao | Hamid Reza Karimi | Ran Bi | Changhong Wang | Changhong Wang | H. Karimi | Y. Kao | R. Bi
[1] Yongduan Song,et al. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay , 2012, IEEE Transactions on Fuzzy Systems.
[2] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[3] Peng Shi,et al. Fault-Tolerant Control for Nonlinear Markovian Jump Systems via Proportional and Derivative Sliding Mode Observer Technique , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.
[4] Jinde Cao,et al. A unified synchronization criterion for impulsive dynamical networks , 2010, Autom..
[5] Jinde Cao,et al. Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances , 2011, IEEE Transactions on Neural Networks.
[6] Le Yi Wang,et al. Asymptotic properties of consensus-type algorithms for networked systems with regime-switching topologies , 2011, Autom..
[7] Ligang Wu,et al. A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[8] Adilson E Motter,et al. Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? , 2003, Physical review letters.
[9] P. Balasubramaniam,et al. Exponential stability of stochastic reaction-diffusion uncertain fuzzy neural networks with mixed delays and Markovian jumping parameters , 2012, Expert Syst. Appl..
[10] Lixian Zhang,et al. Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities , 2009, Autom..
[11] Yan Liu,et al. Stochastic asymptotic stability of Markovian jumping neural networks with Markov mode estimation and mode-dependent delays , 2009 .
[12] G. Yin,et al. Nonlinear Analysis: Real World Applications Moment Exponential Stability of Random Delay Systems with Two-time-scale Markovian Switching , 2022 .
[13] X. Mao,et al. Exponential Stability of Stochastic Di erential Equations , 1994 .
[14] Jinde Cao,et al. Synchronization control of switched linearly coupled neural networks with delay , 2010, Neurocomputing.
[15] Jianbin Qiu,et al. Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework , 2011, IEEE Transactions on Fuzzy Systems.
[16] Peng Shi,et al. l2-l∞ filter design for discrete-time singular Markovian jump systems with time-varying delays , 2011, Inf. Sci..
[17] Peng Shi,et al. Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays , 2010, IEEE Transactions on Neural Networks.
[18] Yang Shuzi,et al. Stability of general neural networks with reaction-diffusion , 2001 .
[19] Changhong Wang,et al. Global stability analysis for stochastic coupled reaction–diffusion systems on networks☆ , 2013 .
[20] Yonggui Kao,et al. Delay-dependent robust exponential stability of Markovian jumping reaction-diffusion Cohen-Grossberg neural networks with mixed delays , 2012, J. Frankl. Inst..
[21] Qi Luo,et al. Stabilization of stochastic Hopfield neural network with distributed parameters , 2004, Science in China Series F: Information Sciences.
[22] James Lam,et al. Analysis and Synthesis of Markov Jump Linear Systems With Time-Varying Delays and Partially Known Transition Probabilities , 2008, IEEE Transactions on Automatic Control.
[23] C. Wu. On the relationship between pinning control effectiveness and graph topology in complex networks of dynamical systems. , 2008, Chaos.
[24] Gang George Yin,et al. Stability of Regime-Switching Jump Diffusions , 2010, SIAM J. Control. Optim..
[25] Lixian Zhang,et al. H∞ estimation for discrete-time piecewise homogeneous Markov jump linear systems , 2009, Autom..
[26] W. D. Evans,et al. PARTIAL DIFFERENTIAL EQUATIONS , 1941 .
[27] James Lam,et al. Necessary and Sufficient Conditions for Analysis and Synthesis of Markov Jump Linear Systems With Incomplete Transition Descriptions , 2010, IEEE Transactions on Automatic Control.
[28] Guowei Yang,et al. Exponential stability of impulsive stochastic fuzzy reaction-diffusion Cohen-Grossberg neural networks with mixed delays , 2012, Neurocomputing.
[29] Xuerong Mao,et al. Stochastic Differential Equations With Markovian Switching , 2006 .
[30] Lixian Zhang,et al. Mode-dependent Hinfinity filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities , 2009, Autom..
[31] Xuerong Mao,et al. Stochastic differential equations and their applications , 1997 .
[32] Alessandro Vespignani,et al. Epidemic dynamics and endemic states in complex networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[33] Peng Shi,et al. A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters , 2010, Neurocomputing.
[34] G. Yin,et al. Stability of nonlinear regime-switching jump diffusion , 2012, 1401.4471.
[35] Qi Luo,et al. Almost sure exponential stability of stochastic reaction diffusion systems , 2009 .
[36] Huijun Gao,et al. I filtering for 2D Markovian jump systems , 2008, Autom..
[37] George Yin,et al. Properties of solutions of stochastic differential equations with continuous-state-dependent switching , 2010 .
[38] S. Strogatz. Exploring complex networks , 2001, Nature.
[39] Daoyi Xu,et al. Global exponential stability of Hopfield reaction-diffusion neural networks with time-varying delays , 2003, Science in China Series F: Information Sciences.
[40] J. Kurths,et al. Network synchronization, diffusion, and the paradox of heterogeneity. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] Michael Y. Li,et al. Global-stability problem for coupled systems of differential equations on networks , 2010 .
[42] V. Latora,et al. Complex networks: Structure and dynamics , 2006 .
[43] Huijun Gao,et al. New results on stabilization of Markovian jump systems with time delay , 2009, Autom..
[44] 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).