A study on H∞ state estimation of static neural networks with time-varying delays
暂无分享,去创建一个
Ju H. Park | Oh-Min Kwon | Yajuan Liu | Sang-Moon Lee | Ju H. Park | Sangmoon Lee | O. Kwon | Yajuan Liu
[1] Qing Zhu,et al. Design of exponential state estimator for neural networks with distributed delays , 2009 .
[2] Hanyong Shao,et al. Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays , 2008, IEEE Transactions on Neural Networks.
[3] Jinde Cao,et al. Guaranteed performance state estimation of static neural networks with time-varying delay , 2011, Neurocomputing.
[4] Gang Feng,et al. Delay-Dependent $H_{\infty}$ and Generalized $H_{2}$ Filtering for Delayed Neural Networks , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.
[5] James Lam,et al. Stability analysis of static recurrent neural networks using delay-partitioning and projection , 2009, Neural Networks.
[6] Daniel W. C. Ho,et al. State estimation for delayed neural networks , 2005, IEEE Transactions on Neural Networks.
[7] 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.
[8] Yong He,et al. Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays , 2011, IEEE Transactions on Neural Networks.
[9] Zidong Wang,et al. Design of exponential state estimators for neural networks with mixed time delays , 2007 .
[10] PooGyeon Park,et al. Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..
[11] Jinde Cao,et al. Stability in static delayed neural networks: A nonlinear measure approach , 2006, Neurocomputing.
[12] Hanyong Shao,et al. Delay-Dependent Approaches to Globally Exponential Stability for Recurrent Neural Networks , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.
[13] Stephen A. Ritz,et al. Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .
[14] Jinde Cao,et al. State estimation for static neural networks with time-varying delay , 2010, Neural Networks.
[15] Hongye Su,et al. H∞ state estimation of static neural networks with time-varying delay , 2012, Neurocomputing.
[16] Yong He,et al. Passivity analysis for neural networks with a time-varying delay , 2011, Neurocomputing.
[17] Madan M. Gupta,et al. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory , 2003 .
[18] Xinghuo Yu,et al. A Unified Approach to the Stability of Generalized Static Neural Networks With Linear Fractional Uncertainties and Delays , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[19] Bin Liu,et al. New stability criteria for recurrent neural networks with a time-varying delay , 2011, Int. J. Autom. Comput..
[20] Hong Qiao,et al. A comparative study of two modeling approaches in neural networks , 2004, Neural Networks.
[21] Zhanshan Wang,et al. Less conservative results of state estimation for delayed neural networks with fewer LMI variables , 2011, Neurocomputing.
[22] Dan Zhang,et al. Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays , 2012, Neural Networks.
[23] Peng Shi,et al. Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data , 2013, IEEE Transactions on Cybernetics.
[24] Ju H. Park,et al. Sampled-data state estimation for Markovian jumping fuzzy cellular neural networks with mode-dependent probabilistic time-varying delays , 2013, Appl. Math. Comput..
[25] James Lam,et al. Stability and Dissipativity Analysis of Static Neural Networks With Time Delay , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[26] Wei Xing Zheng,et al. Stochastic state estimation for neural networks with distributed delays and Markovian jump , 2012, Neural Networks.
[27] T. Su,et al. Delay-dependent stability analysis for recurrent neural networks with time-varying delay , 2008 .
[28] Huaguang Zhang,et al. Delay-Dependent Globally Exponential Stability Criteria for Static Neural Networks: An LMI Approach , 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.
[29] Jinde Cao,et al. A based-on LMI stability criterion for delayed recurrent neural networks , 2006 .
[30] Magdi S. Mahmoud,et al. New exponentially convergent state estimation method for delayed neural networks , 2009, Neurocomputing.
[31] Peng Shi,et al. Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays , 2011, IEEE Transactions on Neural Networks.
[32] Tingwen Huang,et al. A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays , 2013, Neural Networks.
[33] Youshen Xia,et al. An Extended Projection Neural Network for Constrained Optimization , 2004, Neural Computation.
[34] Qing-Guo Wang,et al. Delay-Dependent State Estimation for Delayed Neural Networks , 2006, IEEE Transactions on Neural Networks.