代表文章 [1]. S. Dong, H. Zhu, S. Zhong, K. Shi, J. Lu. Impulsive-based almost surely synchronization for neural network systems subject to deception attacks, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (5): 2298-2307. (中科院一区Top期刊) [2]. S. Dong, K. Shi, X. Xie, M. Yu, H. Yan, X. Cai. Fuzzy-Based Synchronization Control for Coupled Neural Networks Under Cyber Attacks via Intelligent Impulsive Algorithm, IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2025.3525658. (中科院一区Top期刊) [3]. S. Dong, X. Liu, S. Zhong, K. Shi, H. Zhu. Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control, Neural Networks, 2023, 157: 54-64. (中科院一区Top期刊) [4]. S. Dong, K. Shi, S. Wen, S. Zhong. Almost surely synchronization of directed coupled neural networks via stochastic distributed delayed impulsive control, Chaos, Solitons & Fractals, 2023, 174: 113742. (中科院一区期刊) [5]. S. Dong, H. Zhu, S. Zhong, K. Shi, Y. Liu. New study on fixed-time synchronization control of delayed inertial memristive neural networks, Applied Mathematics and Computation, 2021, 399: 126035. (中科院一区Top期刊, ESI高被引论文) [6]. S. Dong, H. Zhu, S. Zhong, K. Shi, Z. Zhang. Sampled-data stabilization analysis of neural-network-based control systems: A discontinuous bilateral looped-functional approach, Communication in Nonlinear Science and Numerical Simulation, 2022, 111: 106446. (中科院一区Top期刊) [7]. S. Dong, H. Zhu, S. Zhong, K. Shi, J. Cheng, W. Kang. New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication, Applied Mathematics and Computation, 2020, 364,: 124619. (中科院一区Top期刊) [8]. S. Dong, H. Zhu, S. Zhong, K. Shi, Y. Zeng. Hybrid control strategy of delayed neural networks and its application to sampled-data systems: an impulsive-based bilateral looped-functional approach, Nonlinear Dynamics, 2021, 105: 3211-3223. (中科院二区Top期刊) [9]. S. Dong, H. Zhu, Y. Zhang, S. Zhong, J. Cheng, K. Shi. Design of H∞ state estimator for delayed static neural networks under hybrid-triggered control and imperfect measurement strategy, Journal of the Franklin Institute, 2020, 357 (17): 13231-13257. (中科院二区期刊) [10]. S. Dong, S. Zhong, K. Shi, W. Kang, J. Cheng. Further improved results on non-fragile H∞ performance state estimation for delayed static neural networks, Neurocomputing, 2020, 356 (3): 9-20. (中科院二区Top期刊) [11]. X. Zhao, H. Chen, Z. Zhang, S. Dong, S. Zhong, Z. You. Dynamic event-triggered H∞ control on nonlinear asynchronous switched system with mixed time-varying delays, Journal of the Franklin Institute, 2022, 359 (1): 520-555, 2022. (中科院二区期刊) [12]. S. Dong, H. Zhu, K. Shi, S. Zhong, Y. Zhang. Hybrid-impulses-based control for exponential stability of inertial delayed neural networks using average impulsive gain strategy, 13th Asian Control Conference (ASCC), 2022. (EI, 口头报告，韩国济州) |
