代表性科研论文 [1] Chaoqing Jia, Jun Hu, Xiaojian Yi, Hongjian Liu, Jinpeng Huang, Zhipeng Cao, Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay[J] Information Sciences，2023, 630: 53-73. (SCI检索) [2] Chaoqing Jia, Jun Hu, Hongjian Liu, Junhua Du, and Shuyang Feng. Recursive state estimation for a class of nonlinear uncertain coupled complex networks subject to random link failures and packet disorders[J]. ISA Transactions, 2022, 127: 88-98. (SCI检索) [3] Chaoqing Jia, Jun Hu, Dongyan Chen, Zhipeng Cao, Jinpeng Huang, and Hailong Tan. Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements[J]. Neurocomputing, 2022, 494: 297-307. (SCI检索) [4] Chaoqing Jia, Jun Hu, Bing Li, Hongjian Liu, and Zhihui Wu. Recursive state estimation for nonlinear coupling complex networks with time-varying topology and Round-Robin protocol[J]. Journal of the Franklin Institute, 2022, 359(11): 5575-5595. (SCI检索) [5]Chaoqing Jia, Jun Hu, Chongyang Lv, and Yujing Shi. Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism[J]. Kybernetika, 2020, 56(1): 35-56. (SCI检索) [6]Chaoqing Jia and Jun Hu, Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: Recursive scheme and boundedness analysis[J],Advances in Difference Equations, 2019, art. no. 53. (SCI检索) [7]Chaoqing Jia, Jun Hu, Dongyan Chen, Yurong Liu, Fuad E. Alsaadi, Event-triggeredresilient filtering with stochastic uncertainties and successive packet dropouts via variance-constrained approach[J], International Journal of General Systems, 2018, 47(5): 438-453. (SCI检索) [8]Jun Hu, Chaoqing Jia, Hui Yu and Hongjian Liu. Dynamic event-triggered state estimation for nonlinear coupled output complex networks subject to innovation constraints[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(5): 941-944. (SCI检索) [9] Jun Hu, Chaoqing Jia, Hongjian Liu, Xiaojian Yi, and Yurong Liu. A survey on state estimation of complex dynamical networks[J]. International Journal of Systems Science, 2021, 52(16): 3351-3367. (SCI检索) [10] Jun Hu, Zidong Wang, Guoping Liu, Chaoqing Jia, and JonathanWilliams. Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements[J]. Automatica, 2020, 115: 108908. (SCI检索) [11]Ming Gao, Jun Hu, Dongyan Chen, and Chaoqing Jia. Resilient state estimation for time-varying uncertain dynamical networks with data packet dropouts and switching topology: An event-triggered method[J],IET Control Theory & Applications, 2020, 14(3): 367-377. (SCI检索) [12]Na Lin, Dongyan Chen, Jun Hu; and Chaoqing Jia. Partial-nodes-based state estimation for stochastic coupled complex networks with random sensor delay: An event-triggered communication method， Circuits, Systems, and Signal Processing， 2022, 41(10): 5461-5491.（SCI检索） [13]Yan Gao, Jun Hu, Hui Yu, Junhua Du, and ChaoqingJia. Variance-constrained resilient H∞state estimation for time-varying neural networks with random saturation observation under uncertain occurrence probability, Neural Processing Letters, 2023, 1-24, DOI: 10.1007/s11063-022-11078-z [14] Chaoqing Jia,Jun Hu, Na Lin, Jinpeng Huang, and Zhipeng Cao. Robust state estimation for state-saturated complex networks with communication protocol schedule. IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE), 30 July-01 August 2021 Qingdao, China, 302-306. (EI检索) [15] Chaoqing Jia,Jun Hu, Zhihui Wu, and Hongxu Zhang. Distributed state estimation for complex dynamical networks with sensor resolutions under node-event-triggered mechanism. IEEE 8th International Conference on Control Science and Systems Engineering (ICCSSE), Guangzhou, China, July 12-16 2022, 302-306. (EI检索) [16] Chaoqing Jia, Jun Hu, and Dongyan Chen. A recursive approach to event-based resilient filtering for time-varying systems with stochastic uncertainties. 2018 Chinese Control and Decision Conference (CCDC), Shenyang, China, 09-11 June 2018 : 4632-4637. (EI检索) [17] Bing Xu, Jun Hu, Chaoqing Jia, Zhipeng Cao, and Jinpeng Huang, State estimation via prediction-based scheme for linear time-varying uncertain networks with communication transmission delays and stochastic coupling[J], Systems Science & Control Engineering, 2021, 9(1): 173-187. |
