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郭金
2023-05-06 11:05
  • 郭金
  • 郭金 - 教授 博导-北京科技大学-自动化学院-个人资料

近期热点

资料介绍

个人简历


工作履历
2013.10-2014.10 美国韦恩州立大学 访问学者
2013.04-2015.07 北京科技大学自动化学院 博士后
2015.07-至今 北京科技大学自动化学院 讲师、副教授、教授
2004.09-2008.07 山东大学 数学与应用数学 学士
2008.09-2013.07 中国科学院数学与系统科学研究院 系统建模与控制理论 博士

研究领域


系统辨识与控制理论
飞行器建模与控制
信息物理系统"代表性项目
1.国家自然科学基金青年基金项目,基于量化输出和信道通讯的系统辨识与状态估计,主持;
2.北京市自然科学基金青年基金,基于集值系统理论的精神分裂症建模与综合分析方法研究,主持;
3.中国博士后科学基金,集值输出系统的递推辨识和适应控制,主持。"

近期论文


一、著作
Jin Guo, Jingdong Diao. Event-Triggered Identification of Systems with Quantized Observations, Metallurgical Industry Press, 2019.01.01.

二、部分代表性论文
[1] Jin Guo, Ji-Feng Zhang, and Yanlong Zhao. Adaptive tracking control of a class of first-order systems with binary-valued observations and time-varying thresholds. IEEE Trans. on Automatic Control, 56(12): 2991-2996, 2011.
[2] Jin Guo, Ji-Feng Zhang, and Yanlong Zhao. Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds. Journal of Systems Science and Complexity, 5(6): 1041-1051, 2012.
[3] Jin Guo and Yanlong Zhao. Recursive projection algorithm on FIR system identification with binary-valued observations. Automatica, 49: 3396-3401, 2013
[4] Yanlong Zhao, Jin Guo, and Ji-Feng Zhang. Adaptive tracking control of linear systems with binary-valued observations and periodic target. IEEE Trans. on Automatic Control, 58: 1293-1298, 2013.
[5] Jin Guo, Ji-Feng Zhang, and Yanlong Zhao. Multi-equilibrium property of metabolic networks: MMN module. International Journal of Robust and Nonlinear Control, 24(10): 1505-1529, 2014.
[6] Jin Guo and Yanlong Zhao. Identification of the gain system with quantized observations and bounded persistent excitations. Science in China Series F: Information Sciences, 57: 012205:1-012205:15, 2014.
[7] Jin Guo, Le Yi Wang, George Yin, Yanlong Zhao, Ji-Feng Zhang. Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs. Automatica, 57: 113-122, 2015.
[8] Jin Guo, Yanlong Zhao, Chang-Yin Sun, Yao Yu. Recursive identification of FIR systems with binary-valued outputs and communication channels. Automatica, 60: 65-172, 2015.
[9] Jin Guo, Yanlong Zhao, Chang-Yin Sun. State estimation with quantized innovations and communication channels. IET Control Theory & Applications, 9(17): 2606–2612, 2015.
[10] Biqiang Mu, Jin Guo, Le Yi Wang, George Yin, Lijian Xu, Wei Xing Zheng. Identification of linear continuous-time systems under irregular and random sampling. Automatica, 60: 100-114, 2015.
[11] Jin Guo, Le Yi Wang, George Yin, Yanlong Zhao, Ji-Feng Zhang. Identification of Wiener systems with quantized inputs and binary-valued output observations. Automatica, 78: 280–286, 2017.
[12] Qingbo Li, Jin Guo, Yuanyuan Wu, Chang-Yin Sun. Weighted average pinning synchronization for a class of coupled neural networks with time-varying delays. Neural Process Letter, 45: 95–108, 2017.
[13] Jin Guo, Haitao Liu. Hammerstein system identification with quantised inputs and quantised output observations. IET Control Theory & Applications, 11(4): 593-599, 2017.
[14] Jin Guo, Biqiang Mu, Le Yi Wang, George Yin, Lijian Xu. Decision-based system identification and adaptive resource allocation. IEEE Transactions on Automatic Control, 62(5): 2166-2179, 2017.
[15] Yanyu He, Jin Guo. FIR systems identification under quantized output observations and a large class of persistently exciting quantized input. Journal of Systems Science and Complexity. 30: 1061-1071, 2017.
[16] Qingbo Li, Jin Guo, Yuanyuan Wu, Chang-Yin Sun. Global asymptotical bounded synchronization for a class of coupled complex networks with nonidentical nodes. Asian Journal of Control. 19 (4): 1630-1640, 2017.
[17] Qingbo Li, Jin Guo, Yuanyuan Wu, Chang-Yin Sun. Adaptive synchronisation for a class of output-coupling complex networks with output feedback nodes. IET Control Theory & Applications, 11(18): 3372-3380, 2017.
[18] Jin Guo, Jing-Dong Diao. Parameter estimation for systems with structural uncertainties based on quantised inputs and binary-valued output observations. IET Control Theory & Applications, 12(5): 694-699, 2018.
[19] Jing-Dong Diao, Jin Guo, Chang-Yin Sun. Event-triggered identification of FIR systems with binary-valued output observations. Automatica, 98: 95-102, 2018.
[20] Wei Su, Jin Guo, Xianzhong Chen, Ge Chen. Noise-induced synchronization of Hegselmann-Krause dynamics in full. IEEE Transactions on Automatic Control. 64(9): 3804-3808, 2019.
[21] Jin Guo, Jing-Dong Diao. FIR system identification under either–or communication with quantised inputs and quantised output observations. IET Control Theory & Applications, 13(8): 1204–1210, 2019.
[22] Wei Su, Jin Guo, Xianzhong Chen, Ge Chen, Jiangyun Li. Robust fragmentation modeling of Hegselmann–Krause-type dynamics. Journal of the Franklin Institute, 356(16): 9867-9880, 2019.
[23] Jin Guo, Jing-Dong Diao. Prediction-based event-triggered identification of quantized input FIR systems with quantized output observations. SCIENCE CHINA Information Sciences, 63: 112201:1–112201:12, 2020.
[24] 杨飞, 谈树萍, 薛文超, 郭金, 赵延龙. 饱和约束测量扩张状态滤波与无拖曳卫星位姿自抗扰控制, 自动化学报, doi: 10.16383/j.aas.c190515. 网络出版日期: 2020-01-17.
[25] Jing-Dong Diao, Jin Guo, Chang-Yin Sun. A compensation method for the packet loss deviation in system identification with event-triggered binary-valued observations. SCIENCE CHINA Information Sciences. 63: 229204:1–229204:3, 2020.
[26] Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao. A Spatial-Temporal Attention Model for Human Trajectory Prediction. IEEE/CAA Journal of Automatica Sinica, 7(4): 965-974, 2020.

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