State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances
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Hongli Dong | Nan Hou | Fei Han | Jiahui Li
[1] Jinde Cao,et al. A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach , 2005 .
[2] Pin-Lin Liu. Improved delay-dependent robust stability criteria for recurrent neural networks with time-varying delays. , 2013, ISA transactions.
[3] Guanrong Chen,et al. New criteria for synchronization stability of general complex dynamical networks with coupling delays , 2006 .
[4] Y. Wang,et al. Stability Analysis of Markovian Jumping Stochastic Cohen–Grossberg Neural Networks With Mixed Time Delays , 2008, IEEE Transactions on Neural Networks.
[5] Fuad E. Alsaadi,et al. Non-fragile state estimation for discrete Markovian jumping neural networks , 2016, Neurocomputing.
[6] E. Yaz. Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.
[7] Fuad E. Alsaadi,et al. Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels , 2017, Inf. Fusion.
[8] Huijun Gao,et al. Event-Triggered State Estimation for Complex Networks With Mixed Time Delays via Sampled Data Information: The Continuous-Time Case , 2015, IEEE Transactions on Cybernetics.
[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] PooGyeon Park,et al. Second-order reciprocally convex approach to stability of systems with interval time-varying delays , 2014, Appl. Math. Comput..
[11] Frédéric Gouaisbaut,et al. Wirtinger-based integral inequality: Application to time-delay systems , 2013, Autom..
[12] Fuad E. Alsaadi,et al. On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays , 2017, Neural Computing and Applications.
[13] Peng Shi,et al. Stability analysis for discrete-time Markovian jump neural networks with mixed time-delays , 2012, Expert Syst. Appl..
[14] Yugang Niu,et al. Filtering For Discrete Fuzzy Stochastic Systems With Sensor Nonlinearities , 2010, IEEE Transactions on Fuzzy Systems.
[15] Huijun Gao,et al. Parameter-dependent robust stability of uncertain time-delay systems , 2007 .
[16] Ya-Jun Pan,et al. Robust H∞ filtering for networked stochastic systems with randomly occurring sensor nonlinearities and packet dropouts , 2013, Signal Process..
[17] Zidong Wang,et al. Exponential stability of delayed recurrent neural networks with Markovian jumping parameters , 2006 .
[18] Zidong Wang,et al. Stability analysis for a class of neutral-type neural networks with Markovian jumping parameters and mode-dependent mixed delays , 2012, Neurocomputing.
[19] James Lam,et al. Robust energy-to-peak filter design for stochastic time-delay systems , 2006, Syst. Control. Lett..
[20] Qing-Guo Wang,et al. Delay-range-dependent stability for systems with time-varying delay , 2007, Autom..
[21] Zidong Wang,et al. Design of exponential state estimators for neural networks with mixed time delays , 2007 .
[22] PooGyeon Park,et al. Reciprocally convex approach to stability of systems with time-varying delays , 2011, Autom..
[23] Stephen P. Boyd,et al. Linear Matrix Inequalities in Systems and Control Theory , 1994 .
[24] Yurong Liu,et al. State estimation for jumping recurrent neural networks with discrete and distributed delays , 2009, Neural Networks.
[25] Jinzhi Wang,et al. Output feedback H controller design for linear discrete-time systems with sensor nonlinearities , 2005 .