科研項目 1. 主持或參與縱向課題 [1] 國家自然科學基金青年項目(12301567)，主持，在研； [2] 黑龍江省博士後面上資助(LBH-Z22199)，主持，在研； [3] 黑龍江省省屬高等學校基本科研業務費（2022-KYYWF-0141），主持，在研； [4] 威海市重點博士後資助項目，主持，在研； [5] 國家自然科學基金面上項目(12171124)，參與，在研； [6] 黑龍江省傑出青年科學基金(JC2018001)，參與，結題； [7] 黑龍江省自然科學基金項目-重點項目(ZD2022F003)，參與，在研。
2. 主持橫向課題 [1] 企業委托橫向課題，“農業機械的路徑跟蹤算法與軟件設計”，主持，在研。 |
代表性科研論文 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檢索) 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檢索) 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檢索) 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檢索) 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檢索) 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檢索) 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檢索) 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檢索) 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檢索) 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, art. no.108908. (SCI檢索)
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代表性專利、專著 [1] 胡軍，于浍，賈朝清, 離散神經網絡多指标狀态估計，哈爾濱工業大學出版社，2023. [2] 賈朝清、胡軍、武志輝、徐龍、陳宇、楊碩、崔栩澤、圖博、武磊. 一種不确定複雜動态網絡狀态時變遞推估計方法. 授權号：ZL 202211597861.3. [3]胡軍、賈朝清、趙文傑、張紅旭、陳東彥、張昌露. 一種具有随機建模誤差的非線性事件觸發濾波方法. 授權号：ZL 201810812854.8. [4] 胡軍、趙文傑、賈朝清、崔雲菲、賈鳳嬌、高銘. 一種具有随機發生不确定性和量化測量的非線性濾波方法. 授權号：ZL 201810814464.4. [5]胡軍、高銘、張紅旭、賈朝清、計東海、高萍萍. 未知概率情形下具有數據丢失的時變事件觸發濾波方法. 授權号：ZL 201811582361.6. [6] 胡軍、高岩、于浍、賈朝清、班立群、孫若姿、雷冰心、鄭凱文. 一種編碼解碼機制下的憶阻神經網絡狀态估計方法. 授權号：ZL 202211386982.3. [7] 胡軍、高岩、賈朝清、于浍、範淑婷、楊碩、陳宇、羅若楠、劉浩. 一種方差受限下的分數階憶阻神經網絡估計方法. 授權号：ZL 202211559637.5. |
社會、學會及學術兼職 [1] 39屆中國自動化學會青年學術年會（YAC2024）特邀專題主席； [2] 2024 IEEE the 10th International Conference on Control Science and Systems Engineering程序委員會委員； [3] 2024 4th International Conference on Automation Control, Algorithm and Intelligent Bionics組委會成員； [4] Automatica期刊審稿人； [5] Neurocomputing期刊審稿人（優秀審稿人）； [6] International Journal of Systems Science期刊審稿人。 |
