Exponential synchronization criteria for Markovian jumping neural networks with time-varying delays and sampled-data control

[1]  Carroll,et al.  Synchronization in chaotic systems. , 1990, Physical review letters.

[2]  B. Francis,et al.  A lifting technique for linear periodic systems with applications to sampled-data control , 1991 .

[3]  Li-Sheng Hu,et al.  Constrained robust sampled‐data control for nonlinear uncertain systems , 2002 .

[4]  Emilia Fridman,et al.  Robust sampled-data stabilization of linear systems: an input delay approach , 2004, Autom..

[5]  Emilia Fridman,et al.  Input/output delay approach to robust sampled-data Hinfinity control , 2005, Syst. Control. Lett..

[6]  H.K. Lam,et al.  Design and stabilization of sampled-data neural-network-based control systems , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[7]  Junguo Lu.  Chaotic behavior in sampled-data control systems with saturating control , 2006 .

[8]  Jinde Cao,et al.  Synchronization control of stochastic delayed neural networks , 2007 .

[9]  Huijun Gao,et al.  Robust sampled-data H∞ control with stochastic sampling , 2009, Autom..

[10]  S. Fritzsche,et al.  The effect of a 2s vacancy on two-electron–one-photon lines: Relativistic approach , 2009 .

[11]  Yang Tang,et al.  On the exponential synchronization of stochastic jumping chaotic neural networks with mixed delays and sector-bounded non-linearities , 2009, Neurocomputing.

[12]  P. Balasubramaniam,et al.  Delay-range dependent stability criteria for neural networks with Markovian jumping parameters , 2009 .

[13]  S. Zhong,et al.  Exponential synchronization of neural networks with time-varying delays , 2009 .

[14]  Xiaoming Chen,et al.  H∞ filtering with stochastic sampling , 2010, Signal Process..

[15]  Huaguang Zhang,et al.  Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay , 2010, IEEE Transactions on Neural Networks.

[16]  Jinde Cao,et al.  Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays , 2010, Neurocomputing.

[17]  Yong He,et al.  Exponential synchronization of neural networks with time-varying mixed delays and sampled-data , 2010, Neurocomputing.

[18]  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.

[19]  Jinde Cao,et al.  State estimation for static neural networks with time-varying delay , 2010, Neural Networks.

[20]  Emilia Fridman,et al.  A refined input delay approach to sampled-data control , 2010, Autom..

[21]  Guoping Liu,et al.  Improved delay-range-dependent stability criteria for linear systems with time-varying delays , 2010, Autom..

[22]  Huijun Gao,et al.  Robust Sampled-Data $H_{\infty}$ Control for Vehicle Active Suspension Systems , 2010, IEEE Transactions on Control Systems Technology.

[23]  Oh-Min Kwon,et al.  New Stability Criteria for Linear Systems with Interval Time-varying State Delays , 2011 .

[24]  M. Syed Ali,et al.  Stochastic stability of discrete-time uncertain recurrent neural networks with Markovian jumping and time-varying delays , 2011, Math. Comput. Model..

[25]  Shouming Zhong,et al.  Improved delay-dependent stability criterion for neural networks with time-varying delay , 2011, Appl. Math. Comput..

[26]  Jie Zhang,et al.  Stabilization for Markovian jump systems with partial information on transition probability based on free-connection weighting matrices , 2011, Autom..

[27]  Engang Tian,et al.  Sampled-data robust H∞ control for T-S fuzzy systems with time delay and uncertainties , 2011, Fuzzy Sets Syst..

[28]  R. Rakkiyappan,et al.  Passivity analysis for neural networks of neutral type with Markovian jumping parameters and time delay in the leakage term , 2011 .

[29]  Nan Li,et al.  Synchronization for general complex dynamical networks with sampled-data , 2011, Neurocomputing.

[30]  Shengyuan Xu,et al.  Stability of stochastic Markovian jump neural networks with mode-dependent delays , 2011, Neurocomputing.

[31]  PooGyeon Park,et al.  Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..

[32]  Qintao Gan,et al.  Synchronization of chaotic neural networks with time delay in the leakage term and parametric uncertainties based on sampled-data control , 2012, J. Frankl. Inst..

[33]  Ting Wang,et al.  Exponential synchronization for delayed chaotic neural networks with nonlinear hybrid coupling , 2012, Neurocomputing.

[34]  Peng Shi,et al.  Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[35]  Ju H. Park,et al.  New approaches on stability criteria for neural networks with interval time-varying delays , 2012, Appl. Math. Comput..

[36]  Lin Li,et al.  Exponential state estimation for delayed recurrent neural networks with sampled-data , 2011, Nonlinear Dynamics.

[37]  Shouming Zhong,et al.  Delay-dependent stochastic stability criteria for Markovian jumping neural networks with mode-dependent time-varying delays and partially known transition rates , 2012, Appl. Math. Comput..

[38]  R. Rakkiyappan,et al.  Delay-dependent stability criterion for a class of non-linear singular Markovian jump systems with mode-dependent interval time-varying delays , 2012 .

[39]  Jian-An Fang,et al.  Stabilizing and synchronizing the Markovian jumping neural networks with mode-dependent mixed delays based on quantized state feedback , 2013, J. Frankl. Inst..

[40]  Dong Yang,et al.  Robust finite-time H∞ control for Markovian jump systems with partially known transition probabilities , 2013, J. Frankl. Inst..

[41]  Ting Wang,et al.  Combined Convex Technique on Delay-Dependent Stability for Delayed Neural Networks , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[42]  Peng Shi,et al.  Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data , 2013, IEEE Transactions on Cybernetics.

[43]  Qingyu Zhu,et al.  Adaptive synchronization for stochastic neural networks of neutral-type with mixed time-delays , 2013, Neurocomputing.

[44]  Nan Li,et al.  Sampled-data state estimation for delayed neural networks with Markovian jumping parameters , 2013 .

[45]  M. Syed Ali,et al.  Robust stability of stochastic uncertain recurrent neural networks with Markovian jumping parameters and time-varying delays , 2014, Int. J. Mach. Learn. Cybern..