Stochastic stability analysis of piecewise homogeneous Markovian jump neural networks with mixed time-delays
暂无分享,去创建一个
Ju H. Park | Hongye Su | Zhengguang Wu | Jian Chu | Ju H. Park | H. Su | Zhengguang Wu | J. Chu
[1] PooGyeon Park,et al. Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..
[2] Zidong Wang,et al. Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays , 2010, IEEE Transactions on Automatic Control.
[3] Daniel W. C. Ho,et al. Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case , 2011, IEEE Transactions on Signal Processing.
[4] 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.
[5] Huijun Gao,et al. Stability analysis for continuous systems with two additive time-varying delay components , 2007, Syst. Control. Lett..
[6] Ju H. Park,et al. Further results on state estimation for neural networks of neutral-type with time-varying delay , 2009, Appl. Math. Comput..
[7] Sabri Arik,et al. Further analysis of global robust stability of neural networks with multiple time delays , 2012, J. Frankl. Inst..
[8] Madan M. Gupta,et al. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory , 2003 .
[9] 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.
[10] Huijun Gao,et al. New Passivity Analysis for Neural Networks With Discrete and Distributed Delays , 2010, IEEE Transactions on Neural Networks.
[11] James Lam,et al. Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks , 2011, IEEE Transactions on Neural Networks.
[12] Huijun Gao,et al. New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays , 2010, Neurocomputing.
[13] Maozhen Li,et al. Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays , 2006, IEEE Transactions on Neural Networks.
[14] D. Cooke,et al. Finite Markov Processes and Their Applications , 1981 .
[15] James Lam,et al. Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay , 2009, IEEE Transactions on Neural Networks.
[16] Lixian Zhang,et al. H∞ estimation for discrete-time piecewise homogeneous Markov jump linear systems , 2009, Autom..
[17] Guanghui Sun,et al. Observer-based sliding mode control for Itô stochastic time-delay systems with limited capacity channel , 2012, J. Frankl. Inst..
[18] Zidong Wang,et al. Exponential synchronization of complex networks with Markovian jump and mixed delays , 2008 .
[19] James Lam,et al. Exponential estimates and stabilization of uncertain singular systems with discrete and distributed delays , 2008, Int. J. Control.
[20] D. Henrion,et al. QUADRATIC SEPARATION FOR FEEDBACK CONNECTION OF AN UNCERTAIN MATRIX AND AN IMPLICIT LINEAR TRANSFORMATION , 2005 .
[21] Zidong Wang,et al. State estimation for discrete-time Markovian jumping neural networks with mixed mode-dependent delays ☆ , 2008 .
[22] Bing Chen,et al. Robust Stability for Uncertain Delayed Fuzzy Hopfield Neural Networks With Markovian Jumping Parameters , 2009, IEEE Trans. Syst. Man Cybern. Part B.
[23] Lixian Zhang. H∞ control of a class of piecewise homogeneous Markov jump linear systems , 2009, 2009 7th Asian Control Conference.
[24] Shouming Zhong,et al. Improved Exponential Stability Analysis for Delayed Recurrent Neural Networks , 2014 .
[25] Peng Shi,et al. Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays , 2010, IEEE Transactions on Neural Networks.
[26] Zhanshan Wang,et al. Novel stability criterion for cellular neural networks: An improved Gu's discretized LKF approach , 2012, J. Frankl. Inst..
[27] Jinde Cao,et al. Adaptive synchronization for delayed neural networks with stochastic perturbation , 2008, J. Frankl. Inst..
[28] James Lam,et al. A new delay system approach to network-based control , 2008, Autom..
[29] Peng Shi,et al. Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays , 2011, IEEE Transactions on Neural Networks.
[30] James Lam,et al. Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach , 2010, Autom..
[31] Wei Xing Zheng,et al. Exponential Stability Analysis for Delayed Neural Networks With Switching Parameters: Average Dwell Time Approach , 2010, IEEE Transactions on Neural Networks.
[32] Quanxin Zhu,et al. Stochastically asymptotic stability of delayed recurrent neural networks with both Markovian jump parameters and nonlinear disturbances , 2010, J. Frankl. Inst..
[33] Anke Meyer-Bäse,et al. Global Asymptotic Stability of a Class of Dynamical Neural Networks , 2003, Int. J. Neural Syst..
[34] Ju H. Park,et al. Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays , 2010 .
[35] Ju H. Park,et al. A novel delay-dependent criterion for delayed neural networks of neutral type , 2010 .
[36] Zidong Wang,et al. Global exponential stability of generalized recurrent neural networks with discrete and distributed delays , 2006, Neural Networks.
[37] D. D. Perlmutter,et al. Stability of time‐delay systems , 1972 .
[38] Honghai Liu,et al. Parameter-dependent robust stability for uncertain Markovian jump systems with time delay , 2011, J. Frankl. Inst..
[39] Fei Liu,et al. H∞ filtering for nonlinear systems via neural networks , 2010, J. Frankl. Inst..
[40] Peter Ti. Markovian Architectural Bias of Recurrent Neural Networks , 2004 .
[41] Shengyuan Xu,et al. Passivity Analysis of Neural Networks With Time-Varying Delays , 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.
[42] Fei Liu,et al. Sampled-data predictive control for uncertain jump systems with partly unknown jump rates and time-varying delay , 2012, J. Frankl. Inst..
[43] Jinde Cao,et al. Exponential stability in the mean square for stochastic neural networks with mixed time-delays and Markovian jumping parameters , 2009 .
[44] Huijun Gao,et al. Robust Stability Criterion for Discrete-Time Uncertain Markovian Jumping Neural Networks With Defective Statistics of Modes Transitions , 2011, IEEE Transactions on Neural Networks.
[45] Xiaodi Li,et al. Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations , 2011, J. Frankl. Inst..
[46] Zidong Wang,et al. Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays , 2009, IEEE Transactions on Neural Networks.
[47] Zidong Wang,et al. Exponential stability of delayed recurrent neural networks with Markovian jumping parameters , 2006 .
[48] Y. Wang,et al. Stability Analysis of Markovian Jumping Stochastic Cohen–Grossberg Neural Networks With Mixed Time Delays , 2008, IEEE Transactions on Neural Networks.