代表性科研论文 [1] Chaoqing Jia, Zidong Wang, Jun Hu, Hongli Dong, Reputation-based distributed filtering over sensor networks subject to stochastic nonlinearity and network-induced quantization[J]. IEEE Transactions on Network Science and Engineering, 2025, DOI: 10.1109/TNSE.2025.3574297. (SCI检索) [2] 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) [3] 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) [4] 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) [5] 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) [6] 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) [7] 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) [8] 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) [9] 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) [10] 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) |
代表性专利、专著 [1] Jun Hu, Zidong Wang, Chaoqing Jia, Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms, Springer, 2025. [2] 胡军，于浍，贾朝清, 离散神经网络多指标状态估计，哈尔滨工业大学出版社，2023. [3] 贾朝清、胡军、武志辉、徐龙、陈宇、杨硕、崔栩泽、图博、武磊. 一种不确定复杂动态网络状态时变递推估计方法. 授权号：ZL 202211597861.3. [4] 贾朝清、刘玉锋、武志辉、王雯迪、雷韬、褚洪淳、孙立丰、张庆博. 一种昆虫种群动态的预报估计方法. 授权号：ZL 2023 1 1847619.1. [5]胡军、贾朝清、赵文杰、张红旭、陈东彦、张昌露. 一种具有随机建模误差的非线性事件触发滤波方法. 授权号：ZL 201810812854.8. [6] 胡军、赵文杰、贾朝清、崔云菲、贾凤娇、高铭. 一种具有随机发生不确定性和量化测量的非线性滤波方法. 授权号：ZL 201810814464.4. [7]胡军、高铭、张红旭、贾朝清、计东海、高萍萍. 未知概率情形下具有数据丢失的时变事件触发滤波方法. 授权号：ZL 201811582361.6. [8] 胡军、高岩、于浍、贾朝清、班立群、孙若姿、雷冰心、郑凯文. 一种编码解码机制下的忆阻神经网络状态估计方法. 授权号：ZL 202211386982.3. [9] 胡军、高岩、贾朝清、于浍、范淑婷、杨硕、陈宇、罗若楠、刘浩. 一种方差受限下的分数阶忆阻神经网络估计方法. 授权号：ZL 202211559637.5. |
