学术论文： [1] Yan Gao, Jun Hu, Kun Chi, Chaoqing Jia, Jun Qi. A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor[J], Neurocomputing, 2024, 579, Article No: 127448. (SCI检索) [2] Yan Gao, Jun Hu, Hui Yu, Junhua Du, Chaoqing Jia. Outlier-resistant variance-constrained H∞ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks[J]. Neural Computing & Applications, 2023, 35(18): 13261-13273. (SCI检索) [3] Yan Gao, Jun Hu, Hui Yu, Junhua Du. Robust resilient H∞ state estimation for time-varying recurrent neural networks subject to probabilistic quantization under variance constraint[J]. International Journal of Control, Automation and Systems, 2023, 21(2): 684-695. (SCI检索) [4] Yan Gao, Jun Hu, Hui Yu, Junhua Du, Chaoqing Jia. Variance-constrained resilient H∞ state estimation for time-varying neural networks with random saturation observation under uncertain occurrence probability[J]. Neural Processing Letters, 2023, 55(4): 5031-5054. (SCI检索) [5] Yan Gao, Jun Hu, Cai Chen, Hui Yu, Chaoqing Jia. A variance-constrained method to protocol-based H∞ state estimation for delayed neural networks with randomly occurring sensor nonlinearity[J], Neural Processing Letters, 2023, 55(9): 12501-12523. (SCI检索) [6] Jun Hu, Yan Gao, Cai Chen, Junhua Du, Chaoqing Jia. Partial-neurons-based H∞ state estimation for time-varying neural networks subject to randomly occurring time delays under variance constraint[J]. Neural Processing Letters, 2023, 55(6): 8285-8307. (SCI检索) [7] Yan Gao, Jun Hu, Dongyan Chen, Junhua Du. Variance-constrained resilient H∞ state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements[J], Advances in Difference Equations, 2019, 2019(1). (SCI检索) [8] Baoyan Sun, Jun Hu, Yan Gao. Variance-constrained robust H∞ state estimation for discrete time-varying uncertain neural networks with uniform quantization[J], AIMS Mathematics, 2022, 7(8): 14227-14248. (SCI检索) [9] Yan Gao, Jun Hu, Hui Yu, Junhua Du. H∞ state estimation for stochastic recurrent neural networks with randomly occurring nonlinearities and variance constraint[C]. The 31th Chinese Control and Decision Conference (CCDC), Nanchang, China, June 3-5, 2019: 1270-1275. (EI检索) [10] Yan Gao, Jun Hu, Dongyan Chen, Junhua Du. Event-triggered H∞ state estimation for time-varying neural networks with variance constraint and fading measurements[C]. 2020 2nd International Conference on Computer Science Communication and Network Security, Sanya, China, 2021, 336: 08018. （知网检索） [11] Yan Gao, Jun Hu, Hui Yu, Chaoqing Jia. Design of variance-constrained H∞ state estimation algorithm for delayed memristive neural networks with attacks: An adaptive event-triggered approach[C]. The 8th IEEE International Conference on Cloud Computing and Intelligent Systems, Chengdu, China, 2022, 571-575. （EI 检索） |
