Event-triggered synchronization of discrete-time neural networks: A switching approach
暂无分享,去创建一个
[1] M. Syed Ali,et al. Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control , 2019, Neural Networks.
[2] H. C. Yee,et al. Dynamical approach study of spurious steady-state numerical solutions of nonlinear differential equations. I. The dynamics of time discretization and its implications for algorithm development in computational fluid dynamics☆ , 1991 .
[3] Xinghuo Yu,et al. Stability of Singular Discrete-Time Neural Networks With State-Dependent Coefficients and Run-to-Run Control Strategies , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[4] Zhigang Zeng,et al. Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[5] K. Gopalsamy,et al. Dynamics of a class of discete-time neural networks and their comtinuous-time counterparts , 2000 .
[6] Jinde Cao,et al. Exponential Synchronization of Stochastic Memristive Neural Networks with Time-Varying Delays , 2019, Neural Processing Letters.
[7] Huaguang Zhang,et al. H∞ state estimation for memristive neural networks with time-varying delays: The discrete-time case , 2016, Neural Networks.
[8] Zhanshan Wang,et al. Finite-time stabilization of nonlinear systems using an event-triggered controller with exponential gains , 2019 .
[9] Dong Yue,et al. A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems , 2013, IEEE Transactions on Automatic Control.
[10] Ju H. Park,et al. Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization , 2018, Neural Networks.
[11] 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.
[12] Zhanshan Wang,et al. Fixed-Time Stabilization for IT2 T–S Fuzzy Interconnected Systems via Event-Triggered Mechanism: An Exponential Gain Method , 2020, IEEE Transactions on Fuzzy Systems.
[13] Jun Zhao,et al. Distributed integral-based event-triggered scheme for cooperative output regulation of switched multi-agent systems , 2018, Inf. Sci..
[14] Tingwen Huang,et al. Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach , 2019, IEEE Transactions on Cybernetics.
[15] James Lam,et al. Stability and Synchronization of Discrete-Time Neural Networks With Switching Parameters and Time-Varying Delays , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[16] Shiping Wen,et al. Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control , 2019, Neural Networks.
[17] Hubert Harrer. Discrete time cellular neural networks , 1992, Int. J. Circuit Theory Appl..
[18] Huaiqin Wu,et al. Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays , 2018, Advances in Difference Equations.
[19] Huaguang Zhang,et al. A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[20] Paulo Tabuada,et al. An introduction to event-triggered and self-triggered control , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[21] Sophie Tarbouriech,et al. Stability and Stabilization of Linear Systems with Saturating Actuators , 2011 .
[22] Qiankun Song,et al. A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks , 2020, Neural Networks.
[23] Jinde Cao,et al. Finite‐time multi‐switching sliding mode synchronisation for multiple uncertain complex chaotic systems with network transmission mode , 2019, IET Control Theory & Applications.
[24] Zhanshan Wang,et al. Exponential Stabilization of Memristive Neural Networks via Saturating Sampled-Data Control , 2017, IEEE Transactions on Cybernetics.
[25] Fuad E. Alsaadi,et al. Event-Based $H_\infty $ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[26] Quanxin Zhu,et al. Exponential synchronization of Markovian jumping chaotic neural networks with sampled-data and saturating actuators , 2017 .
[27] Zhigang Zeng,et al. Global Exponential Stability and Synchronization for Discrete-Time Inertial Neural Networks With Time Delays: A Timescale Approach , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[28] Dong Yue,et al. Adaptive event‐triggered control for nonlinear discrete‐time systems , 2016 .
[29] Yonggang Chen,et al. Synchronization of delayed discrete-time neural networks subject to saturated time-delay feedback , 2016, Neurocomputing.
[30] Tongwen Chen,et al. Event triggered robust filter design for discrete-time systems , 2014 .
[31] Qing-Guo Wang,et al. Stability Analysis of Discrete-Time Neural Networks With Time-Varying Delay via an Extended Reciprocally Convex Matrix Inequality , 2017, IEEE Transactions on Cybernetics.
[32] Emilia Fridman,et al. Wirtinger-like Lyapunov-Krasovskii functionals for discrete-time delay systems , 2018, IMA J. Math. Control. Inf..
[33] Zidong Wang,et al. Asymptotic stability for neural networks with mixed time-delays: The discrete-time case , 2009, Neural Networks.
[34] Zhanshan Wang,et al. Event-Triggered Stabilization of Neural Networks With Time-Varying Switching Gains and Input Saturation , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[35] Peng Shi,et al. Local Synchronization of Chaotic Neural Networks With Sampled-Data and Saturating Actuators , 2014, IEEE Transactions on Cybernetics.
[36] Antoine Girard,et al. Dynamic Triggering Mechanisms for Event-Triggered Control , 2013, IEEE Transactions on Automatic Control.
[37] Louis M. Pecora,et al. Fundamentals of synchronization in chaotic systems, concepts, and applications. , 1997, Chaos.
[38] Rathinasamy Sakthivel,et al. Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation , 2018, Neural Networks.
[39] Moez Feki,et al. Secure digital communication using discrete-time chaos synchronization , 2003 .