Exponential stability of Markovian jumping systems via adaptive sliding mode control C Xu, D Tong, Q Chen, W Zhou, P Shi
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (2), 954-964, 2019
129 2019 Mode and Delay-Dependent Adaptive Exponential Synchronization in W Zhou, D Tong, Y Gao, C Ji, H Su
IEEE Transactions on Neural Networks and Learning Systems 23 (4), 662-668, 2012
118 2012 Finite-time synchronization of the complex dynamical network with non-derivative and derivative coupling Y Xu, W Zhou, C Xie, D Tong
Neurocomputing 173, 1356-1361, 2016
94 2016 Exponential synchronization for stochastic neural networks with multi-delayed and Markovian switching via adaptive feedback control D Tong, W Zhou, X Zhou, J Yang, L Zhang, Y Xu
Communications in Nonlinear Science and Numerical Simulation 29 (1-3), 359-371, 2015
84 2015 Adaptive synchronization for stochastic T–S fuzzy neural networks with time-delay and Markovian jumping parameters D Tong, Q Zhu, W Zhou, Y Xu
Neurocomputing 117, 91-97, 2013
66 2013 Sliding mode control for nonlinear stochastic systems with Markovian jumping parameters and mode-dependent time-varying delays D Tong, C Xu, Q Chen, W Zhou, Y Xu
Nonlinear Dynamics 100, 1343-1358, 2020
58 2020 Adaptive synchronization for stochastic neural networks of neutral-type with mixed time-delays Q Zhu, W Zhou, D Tong
Neurocomputing 99, 477-485, 2013
57 2013 Sliding mode control of a class of nonlinear systems D Tong, C Xu, Q Chen, W Zhou
Journal of the Franklin Institute 357 (3), 1560-1581, 2020
54 2020 Finite-time synchronization and energy consumption prediction for multilayer fractional-order networks D Tong, B Ma, Q Chen, Y Wei, P Shi
IEEE Transactions on Circuits and Systems II: Express Briefs 70 (6), 2176-2180, 2023
51 2023 Stability analysis and application for delayed neural networks driven by fractional Brownian noise W Zhou, X Zhou, J Yang, J Zhou, D Tong
IEEE transactions on neural networks and learning systems 29 (5), 1491-1502, 2017
51 2017 Observer-based adaptive finite-time prescribed performance NN control for nonstrict-feedback nonlinear systems D Tong, X Liu, Q Chen, W Zhou, K Liao
Neural Computing and Applications 34 (15), 12789-12805, 2022
50 2022 Asymptotical synchronization for delayed stochastic neural networks with uncertainty via adaptive control D Tong, L Zhang, W Zhou, J Zhou, Y Xu
International Journal of Control, Automation and Systems 14 (3), 706-712, 2016
50 2016 Fixed-time synchronization and energy consumption for Kuramoto-oscillator networks with multilayer distributed control G Yang, D Tong, Q Chen, W Zhou
IEEE Transactions on Circuits and Systems II: Express Briefs 70 (4), 1555-1559, 2022
49 2022 Adaptive NN control for nonlinear systems with uncertainty based on dynamic surface control Z Zhou, D Tong, Q Chen, W Zhou, Y Xu
Neurocomputing 421, 161-172, 2021
39 2021 Exponential synchronization of chaotic systems with stochastic noise via periodically intermittent control C Xu, D Tong, Q Chen, W Zhou, Y Xu
International Journal of Robust and Nonlinear Control 30 (7), 2611-2624, 2020
39 2020 Exponential synchronization and phase locking of a multilayer Kuramoto-oscillator system with a pacemaker D Tong, P Rao, Q Chen, MJ Ogorzalek, X Li
Neurocomputing 308, 129-137, 2018
37 2018 Adaptive exponential synchronization in p th moment of neutral-type neural networks with time delays and Markovian switching W Zhou, Y Gao, D Tong, C Ji, J Fang
International Journal of Control, Automation and Systems 11 (4), 845-851, 2013
30 2013 Master‐slave synchronization for coupled neural networks with Markovian switching topologies and stochastic perturbation J Zhou, T Cai, W Zhou, D Tong
International Journal of Robust and Nonlinear Control 28 (6), 2249-2263, 2018
24 2018 Stability and synchronization control of stochastic neural networks W Zhou, J Yang, L Zhou, D Tong
Springer, 2016
24 2016 Almost sure adaptive asymptotically synchronization for neutral-type multi-slave neural networks with Markovian jumping parameters and stochastic perturbation J Zhou, X Ding, L Zhou, W Zhou, J Yang, D Tong
Neurocomputing 214, 44-52, 2016
23 2016 