| New study on fixed-time synchronization control of delayed inertial memristive neural networks S Dong, H Zhu, S Zhong, K Shi, Y Liu Applied Mathematics and Computation 399, 126035, 2021 | 80 | 2021 |
| New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication S Dong, H Zhu, S Zhong, K Shi, J Cheng, W Kang Applied Mathematics and Computation 364, 124619, 2020 | 22 | 2020 |
| Further improved results on non-fragile H∞ performance state estimation for delayed static neural networks S Dong, S Zhong, K Shi, W Kang, J Cheng Neurocomputing 356, 9-20, 2019 | 21 | 2019 |
| Dynamic event-triggered H∞ control on nonlinear asynchronous switched system with mixed time-varying delays X Zhao, H Chen, Z Zhang, S Dong, S Zhong, Z You Journal of the Franklin Institute 359 (1), 520-555, 2022 | 20 | 2022 |
| Impulsive-based almost surely synchronization for neural network systems subject to deception attacks S Dong, H Zhu, S Zhong, K Shi, J Lu IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2298-2307, 2021 | 19 | 2021 |
| Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control S Dong, X Liu, S Zhong, K Shi, H Zhu Neural Networks 157, 54-64, 2023 | 17 | 2023 |
| Hybrid control strategy of delayed neural networks and its application to sampled-data systems: an impulsive-based bilateral looped-functional approach S Dong, H Zhu, S Zhong, K Shi, Y Zeng nonlinear dynamics 105 (4), 3211-3223, 2021 | 14 | 2021 |
| Design of H∞ state estimator for delayed static neural networks under hybrid-triggered control and imperfect measurement strategy S Dong, H Zhu, Y Zhang, S Zhong, J Cheng, K Shi Journal of the Franklin Institute 357 (17), 13231-13257, 2020 | 8 | 2020 |
| Almost surely synchronization of directed coupled neural networks via stochastic distributed delayed impulsive control S Dong, K Shi, S Wen, Y Shen, S Zhong Chaos, Solitons & Fractals 174, 113742, 2023 | 5 | 2023 |
| Sampled-data stabilization analysis of neural-network-based control systems: A discontinuous bilateral looped-functional approach S Dong, H Zhu, S Zhong, K Shi, Z Zhang Communications in Nonlinear Science and Numerical Simulation 111, 106446, 2022 | 4 | 2022 |
| New result on reliable H-infinity performance state estimation for memory static neural networks with stochastic sampled-data communication S Dong, H Zhu, S Zhong, K Shi, J Cheng, W Kang APPLIED MATHEMATICS AND COMPUTATION 364, 2020 | 3 | 2020 |
| Fuzzy-Based Synchronization Control for Coupled Neural Networks Under Cyber Attacks via Intelligent Impulsive Algorithm S Dong, K Shi, X Xie, M Yu, H Yan, X Cai IEEE Transactions on Automation Science and Engineering, 2025 | | 2025 |
| Hybrid-Impulses-Based Control for Exponential Stability of Inertial Delayed Neural Networks Using Average Impulsive Gain Strategy S Dong, H Zhu, K Shi, S Zhong, Y Zhang 2022 13th Asian Control Conference (ASCC), 476-481, 2022 | | 2022 |
| Impulsive Control with Preventive and Fault-Tolerant Mechanisms for Reliable Synchronization of Quaternion-Valued Neural Networks D Chen, K Shi, S Dong, J Cao, S Wen Available at SSRN 4889104, 0 | | |
