State estimation of T–S fuzzy Markovian generalized neural networks with reaction–diffusion terms: a time-varying nonfragile proportional retarded sampled-data control scheme

[1]  Yajuan Liu,et al.  Pinning Synchronization of Directed Coupled Reaction-Diffusion Neural Networks With Sampled-Data Communications , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[2]  Hamid Reza Karimi,et al.  Takagi–Sugeno Model Based Event-Triggered Fuzzy Sliding-Mode Control of Networked Control Systems With Semi-Markovian Switchings , 2020, IEEE Transactions on Fuzzy Systems.

[3]  P. Balasubramaniam,et al.  Delayed impulsive control for exponential synchronization of stochastic reaction–diffusion neural networks with time-varying delays using general integral inequalities , 2019, Neural Computing and Applications.

[4]  Shouming Zhong,et al.  A New Approach to Stabilization of Chaotic Systems With Nonfragile Fuzzy Proportional Retarded Sampled-Data Control , 2019, IEEE Transactions on Cybernetics.

[5]  Erfu Yang,et al.  General decay anti-synchronization of multi-weighted coupled neural networks with and without reaction–diffusion terms , 2019, Neural Computing and Applications.

[6]  Xiaona Song,et al.  Intermittent pinning synchronization of reaction–diffusion neural networks with multiple spatial diffusion couplings , 2019, Neural Computing and Applications.

[7]  Junwei Lu,et al.  Memory-based State Estimation of T–S Fuzzy Markov Jump Delayed Neural Networks with Reaction–Diffusion Terms , 2019, Neural Processing Letters.

[8]  Jinde Cao,et al.  Sampled-Data Control for the Synchronization of Boolean Control Networks , 2019, IEEE Transactions on Cybernetics.

[9]  M. Syed Ali,et al.  Sampled-data state estimation of Markovian jump static neural networks with interval time-varying delays , 2018, J. Comput. Appl. Math..

[10]  Zhigang Zeng,et al.  Passivity and Passification of Fuzzy Memristive Inertial Neural Networks on Time Scales , 2018, IEEE Transactions on Fuzzy Systems.

[11]  Ju H. Park,et al.  Further Results on Stabilization of Chaotic Systems Based on Fuzzy Memory Sampled-Data Control , 2018, IEEE Transactions on Fuzzy Systems.

[12]  Hamid Reza Karimi,et al.  New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Peng Shi,et al.  Nonfragile State Estimation of Quantized Complex Networks With Switching Topologies , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[14]  Ning Li,et al.  New results on passivity analysis of memristive neural networks with time-varying delays and reaction-diffusion term , 2018, Neurocomputing.

[15]  Ju H. Park,et al.  Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Jigui Jian,et al.  Finite-time synchronization of inertial memristive neural networks with time-varying delays via sampled-date control , 2017, Neurocomputing.

[17]  Yueying Wang,et al.  On Stabilization of Quantized Sampled-Data Neural-Network-Based Control Systems , 2017, IEEE Transactions on Cybernetics.

[18]  Zheng-Guang Wu,et al.  Reachable Set Estimation for Markovian Jump Neural Networks With Time-Varying Delays , 2017, IEEE Transactions on Cybernetics.

[19]  Hamid Reza Karimi,et al.  Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Wei Xing Zheng,et al.  Generating Globally Stable Periodic Solutions of Delayed Neural Networks With Periodic Coefficients via Impulsive Control , 2017, IEEE Transactions on Cybernetics.

[21]  N. Gunasekaran,et al.  State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control , 2017, Fuzzy Sets Syst..

[22]  M. Ali,et al.  Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control , 2018, Neural Computing and Applications.

[23]  Guoliang Chen,et al.  Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components , 2016, J. Frankl. Inst..

[24]  Yan Shi,et al.  Dissipativity Analysis for Discrete Time-Delay Fuzzy Neural Networks With Markovian Jumps , 2016, IEEE Transactions on Fuzzy Systems.

[25]  Yuechao Ma,et al.  Delay-dependent stochastic stability for discrete singular neural networks with Markovian jump and mixed time-delays , 2016, Neural Computing and Applications.

[26]  Grienggrai Rajchakit,et al.  Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays , 2016, Neural Computing and Applications.

[27]  R. Rakkiyappan,et al.  Sampled-data synchronization of randomly coupled reaction–diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach , 2017, Neural Computing and Applications.

[28]  Yongqing Yang,et al.  The stabilization of BAM neural networks with time-varying delays in the leakage terms via sampled-data control , 2016, Neural Computing and Applications.

[29]  M. Syed Ali,et al.  Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays , 2015, Neurocomputing.

[30]  A. Arunkumar,et al.  Robust stochastic stability of discrete-time fuzzy Markovian jump neural networks. , 2014, ISA transactions.

[31]  Min Wu,et al.  Delay-Dependent Stability Criteria for Generalized Neural Networks With Two Delay Components , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[32]  Peng Shi,et al.  Sampled-Data Fuzzy Control of Chaotic Systems Based on a T–S Fuzzy Model , 2014, IEEE Transactions on Fuzzy Systems.

[33]  Frédéric Gouaisbaut,et al.  Wirtinger-based integral inequality: Application to time-delay systems , 2013, Autom..

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

[35]  Xia Huang,et al.  Global exponential estimates for uncertain Markovian jump neural networks with reaction-diffusion terms , 2012 .

[36]  James Lam,et al.  Stability and Dissipativity Analysis of Static Neural Networks With Time Delay , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[37]  Qing-Long Han,et al.  Global Asymptotic Stability for a Class of Generalized Neural Networks With Interval Time-Varying Delays , 2011, IEEE Trans. Neural Networks.

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

[39]  Ting Wang,et al.  Delay-Derivative-Dependent Stability for Delayed Neural Networks With Unbound Distributed Delay , 2010, IEEE Transactions on Neural Networks.

[40]  Wei Xing Zheng,et al.  Robust Stability Analysis for Stochastic Neural Networks With Time-Varying Delay , 2010, IEEE Transactions on Neural Networks.

[41]  Yijing Wang,et al.  A New Method for Stability Analysis of Recurrent Neural Networks With Interval Time-Varying Delay , 2010, IEEE Transactions on Neural Networks.

[42]  Tao Li,et al.  Improved stability criteria of neural networks with time-varying delays: An augmented LKF approach , 2010, Neurocomputing.

[43]  Junguo Lu.  Global exponential stability and periodicity of reaction–diffusion delayed recurrent neural networks with Dirichlet boundary conditions , 2008 .

[44]  Zidong Wang,et al.  Global exponential stability of generalized recurrent neural networks with discrete and distributed delays , 2006, Neural Networks.

[45]  Dong Yue,et al.  Delayed feedback control of uncertain systems with time-varying input delay , 2005, Autom..

[46]  Vladimir L. Kharitonov,et al.  Stability of Time-Delay Systems , 2003, Control Engineering.

[47]  Lihua Xie,et al.  Robust control of a class of uncertain nonlinear systems , 1992 .