北方工业大学法学导师：庞中华 正文

庞中华 庞中华，教授，博士生导师，控制工程专硕学位点负责人。
北方工业大学电气与控制工程学院，现场总线技术及自动化北京市重点实验室地址：北京市石景山区晋元庄路5号，北方工业大学博远楼515，100144电话：010-88803372-816Email：zhpang@ncut.edu.cn 个人简历 2008.09-2011.07：中国科学院自动化研究所，控制理论与控制工程专业，博士2011.09-2014.02：清华大学自动化系，控制科学与工程专业，博士后2014.02-2017.12：北方工业大学电气与控制工程学院，副教授，硕士生导师2016.11-2017.10：英国南威尔士大学工程学院，访问学者2019.07-2019.08：澳大利亚斯威本科技大学工程学院，访问学者2020.01-2020.03：澳大利亚斯威本科技大学工程学院，访问学者2017.12-至今：北方工业大学电气与控制工程学院，教授，博士生导师 教授课程 《系统辨识与自适应控制》《科技论文写作与发表》《系统仿真》《网络传输与通信技术》 主要研究领域和方向 1. 网络化控制2. 集群编队控制3. CPS安全控制4. 数据驱动控制5. 智能学习控制 近五年的荣誉成果 1. 2016年，北方工业大学“长城学者后备”2. 2018年，北京市委组织部“青年拔尖人才”3. 2019年，北方工业大学“毓杰人才”4. 2020年，IEEE Senior Member5. 2023年，IEEE/CAA JAS青年编委 近年来主要科研项目 现已出版英文专著1部、中文著作3部，发表学术论文110余篇，SCI/EI检索80余篇，授权国家发明专利12项和软件著作权4项；目前主持和完成国家自然科学基金项目3项、北京市自然科学基金项目面上项目3项及其他省部级项目5项、国家重点实验室开放课题1项、教育部重点实验室开放基金2项、中科院重点实验室开放基金项目1项和横向项目多项，并参与国家重点研发计划项目1项、国家自然科学基金重大国际合作项目1项、国家自然科学基金面上项目1项；在DDCLS等重要学术会议做邀请报告3次，获省部级科技奖/教学奖3项，指导本科生获省部级优秀学士论文3篇、北京市实培计划优秀项目案例2项、国家级/省部级大学生科技竞赛奖13项。
[1] Zhong-Hua Pang, Tong Mu, Fang-Yuan Hou, Yuntao Shi, and Jian Sun, Two networked predictive control methods for output tracking of networked systems with plant-model mismatch, International Journal of Systems Science, Accepted, 2023.(SCI)[2] Zhong-Hua Pang, Cheng-Gang Xia, Ji Zhang, Qing-Long Han, and Guo-Ping Liu, A prediction-based approach realizing finite-time convergence of networked control systems, IEEE Transactions on Circuits and Systems-II: Express Briefs, 10.1109/TCSII.2023.3235462, 2023.(SCI)[3] Chang-Bing Zheng, Zhong-Hua Pang*, Jing-Xu Wang, Shengnan Gao, Jian Sun, and Guo-Ping Liu, Time-varying formation prescribed performance control with collision avoidance for multi-agent systems subject to mismatched disturbances, Information Sciences, 2023, 633: 517-530.(SCI)[4] Chang-Bing Zheng, Zhong-Hua Pang*, Jian Sun, Guo-Ping Liu, and Qing-Long Han, Time-varying formation predictive control of second-order networked multi-agent systems with three-channel random communication constraints, IEEE Transactions on Circuits and Systems-II: Express Briefs, DOI: 10.1109/TCSII.2023.3255926, 2023.(SCI)[5] Haibin Guo, Jian Sun, Zhong-Hua Pang*, and Guo-Ping Liu, Event-based optimal stealthy false data injection attacks against remote state estimation systems, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3255583, 2023.(SCI)[6] Haibin Guo, Jian Sun, and Zhong-Hua Pang*, Residual-based false data injection attacks against multi-sensor estimation systems, IEEE/CAA Journal of Automatica Sinica, doi: 10.1109/JAS.2023.123441, 2023.(SCI)[7] Chang-Bing Zheng, Zhong-Hua Pang*, Jing-Xu Wang, Jian Sun, Guo-Ping Liu, and Qing-Long Han, Null-space-based time-varying formation control of uncertain nonlinear second-order multi-agent systems with collision avoidance, IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2022.3217585, 2022.(SCI)[8] Zhong-Hua Pang, Lan-Zhi Fan, Haibin Guo, Yuntao Shi, Runqi Chai, Jian Sun, and Guo-Ping Liu, Security of networked control systems subject to deception attacks: A survey, International Journal of Systems Science, doi: 10.1080/00207721.2022.2143735, 2022.(SCI)[9] Hanyong Shao, Guangxia Yuan, Zhonghua Pang, and Qinglong Han, Stability of networked control systems: a Lyapunov-Krasovskii functional plus approach, ISA Transactions, Accepted, 2022.(SCI)[10]     Zhonghua Pang, Yuan Fu, Haibin Guo, and Jian Sun, Analysis of stealthy false data injection attacks against networked control systems: three case studies, Journal of Systems Science and Complexity, 10.1007/s11424-022-2120-6.(SCI)[11]     Chuan-Dong Bai, Tong Mu, Zhong-Hua Pang*, Jian Sun, and Guo-Ping Liu, Output tracking predictive control of networked systems with two-channel random communication constraints, International Journal of Control, Automation and Systems, Accepted, 2022.(SCI)[12]     Zhong-Hua Pang, Biao Ma, Guo-Ping Liu, and Qing-Long Han, Data-Driven Adaptive Control: An Incremental Triangular Dynamic Linearization Approach, IEEE Transactions on Circuits and Systems II: Express Briefs, doi: 10.1109/TCSII.2022.3181232, 2022.(SCI)[13]     Zhong-Hua Pang, Xue-Ying Zhao, Jian Sun, Yuntao Shi, and Guo-Ping Liu, Comparison of three data-driven networked predictive control methods for a class of nonlinear systems, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 9, pp. 1714-1716, Sep. 2022.(SCI)[14]     Haibin Guo, Jian Sun, and Zhong-Hua Pang*. Stealthy FDI attacks against networked control systems using two filters with an arbitrary gain. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(7): 3219-3223, 2022.(SCI)[15]     Haibin Guo, Jian Sun, Zhong-Hua Pang*. Stealthy false data injection attacks with resource constraints against multi-sensor estimation systems. ISA Transactions, 127: 32-40, 2022.(SCI)[16]     Haibin Guo, Zhong-Hua Pang, Jian Sun, and Jun Li. Detection of stealthy false data injection attacks against cyber-physical systems: A stochastic coding scheme. Journal of Systems Science and Complexity, 35(5), pp.1668-1684.(SCI)[17]     Zhong-Hua Pang, Cheng-Gang Xia, Wei-Feng Zhai, Guo-Ping Liu, and Qing-Long Han. Networked active fault-tolerant predictive control for systems with random communication constraints and actuator/sensor faults. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(4): 2166-2170, 2022.(SCI)[18]     Zhong-Hua Pang, Chang-Bing Zheng, Chao Li, Guo-Ping Liu, and Qing-Long Han. Cloud-based time-varying formation predictive control of multi-agent systems with random communication constraints and quantized signals. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(3): 1282-1286,2022.(SCI)[19]     Qirui Zhang, Kun Liu, Zhonghua Pang, Yuanqing Xia, and Tao Liu. Reachability analysis of cyber-physical systems under stealthy attacks. IEEE Transactions on Cybernetics, 52(6): 4926-4934, 2022.(SCI)[20]     Fangyuan Hou, Jian Sun, QinLing Yang, Zhonghua Pang. Deep reinforcement learning for optimal denial-of-service attack scheduling, SCIENCE CHINA Information Sciences, 65: 162201, 2022.(SCI)[21]     Zhonghua Pang, Tao Du, Changbing Zheng, and Chao Li. Event-triggered cooperative predictive control for networked multi-agent systems with random delays and packet dropouts. Symmetry, 14(3), 541, 2022.(SCI)[22]     Zhong-Hua Pang, Lan-Zhi Fan, Zhe Dong, Qing-Long Han, and Guo-Ping Liu. False data injection attacks against partial sensor measurements of networked control systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(1): 149-153, 2022.(SCI)[23]     Zhe Dong, Chang-Bing Zheng, Zhong-Hua Pang*, and Jian Sun. Incremental networked predictive control of multi-agent systems with plant-model mismatch and random communication constraints. IET Control Theory & Applications, 16(1): 51-65, 2022.(SCI)[24]     Zhong-Hua Pang, Cheng-Gang Xia, Jian Sun, Guo-Ping Liu, and Qing-Long Han. Active fault-tolerant predictive control of networked systems subject to actuator faults and random communication constraints. International Journal of Control, doi: 10.1080/00207179.2021.1910863, 2021.(SCI)[25]     Haibin Guo, Zhong-Hua Pang, Jian Sun, and Jun Li. An output-coding-based detection scheme against replay attacks in cyber-physical systems. IEEE Transactions on Circuits and Systems--II: Express Briefs, 68(10): 3306-3310, 2021.(SCI)[26]     Zhong-Hua Pang, Chuan-Dong Bai, Guo-Ping Liu, Qing-Long Han, and Xian-Ming Zhang. A novel networked predictive control method for systems with random communication constraints. Journal of Systems Science and Complexity, 34(4): 1364-1378, 2021.(SCI)[27]     Zhong-Hua Pang, Lan-Zhi Fan, Jian Sun, Kun Liu, and Guo-Ping Liu. Detection of stealthy false data injection attacks against networked control systems via active data modification. Information Sciences, 546: 192-205, 2021.(SCI)[28]     Zhong-Hua Pang, Chang-Bing Zheng, Jian Sun, Qing-Long Han, and Guo-Ping Liu. Distance and velocity based collision avoidance for time-varying formation control of second-order multi-agent systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(4): 1253-1257, 2021.(SCI)[29]     Zhong-Hua Pang, Wen-Cheng Luo, Guo-Ping Liu, and Qing-Long Han. Observer-based incremental predictive control of networked multi-agent systems with random delays and packet dropouts. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(1): 426-430, 2021.(SCI)[30]     Zhong-Hua Pang, Guo-Ping Liu, Donghua Zhou, and Dehui Sun. Data-driven control with input design-based data dropout compensation for networked nonlinear systems. IEEE Transactions on Control Systems Technology, 25(2): 628 - 636, 2017.(SCI)[31]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, and Dehui Sun. Input design-based compensation control for networked nonlinear systems with random delays and packet dropouts. IEEE Transactions on Circuits and Systems II: Express Briefs, 64(3): 299 - 303, 2017.(SCI)[32]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, and Dehui Sun. Design and performance analysis of networked predictive control systems based on input-output difference equation model. International Journal of Control, Automation and Systems, 15(1): 416-426, 2017.(SCI)[33]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, and Dehui Sun. Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise. Journal of Systems Science and Complexity, 30(5): 1072-1083, 2017.(SCI)[34]     Zhong-Hua Pang, Guo-Ping Liu, and DongHua Zhou. Design and performance analysis of incremental networked predictive control systems. IEEE Transactions on Cybernetics, 46(6): 1400-1410, 2016.(SCI)[35]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, Fangyuan Hou, and Dehui Sun. Two-channel false data injection attacks against output tracking control of networked systems. IEEE Transactions on Industrial Electronics, 2016, 63(5): 3242-3251.(SCI)[36]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, and Dehui Sun. Data-based predictive control for networked nonlinear systems with network-induced delay and packet dropout. IEEE Transactions on Industrial Electronics, 63(2): 1249-1257, 2016.(SCI)[37]     Zhong-Hua Pang, Guo-Ping Liu, DongHua Zhou, and Dehui Sun. Data-based predictive control for networked non-linear systems with two-channel packet dropouts. IET Control Theory & Applications, 9(7): 1154-1161, 2015.(SCI)[38]     Xu Zhang, Maoyin Chen, Ling Wang, Zhonghua Pang, and Donghua Zhou. Connection-graph-based event-triggered output consensus in multi-agent systems with time-varying couplings. IET Control Theory & Applications, 9(1): 1-9, 2015.(SCI)[39]     Zhong-Hua Pang, Guo-Ping Liu, and DongHua Zhou. Setpoint control of networked systems via static output feedback integral controller. IET Control Theory & Applications, 8(15): 1581-1587, 2014.(SCI)[40]     Zhong-Hua Pang, Guo-Ping Liu, Donghua Zhou, and Maoyin Chen. Output tracking control for networked systems: A model-based prediction approach. IEEE Transactions on Industrial Electronics, 61(9): 4867-4877, 2014.(SCI)[41]     Zhong-Hua Pang and Guo-Ping Liu. Design and implementation of secure networked predictive control systems under deception attacks. IEEE Transactions on Control Systems Technology, 20(5): 1334-1342, 2012.(SCI) 近年来出版的主要教材与专著 1. Zhong-Hua Pang, Guo-Ping Liu, Donghua Zhou, Dehui Sun. Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks. Springer, 20192. 庞中华，崔红. 系统辨识与自适应控制MATLAB仿真（第3版）. 北京航空航天大学出版社，20173. 庞中华，崔红. 系统辨识与自适应控制MATLAB仿真（修订版）. 北京航空航天大学出版社，20134. 庞中华，崔红. 系统辨识与自适应控制MATLAB仿真. 北京航空航天大学出版社，2009 在研主要项目 1. 国家自然科学基金-面上项目：网络化多智能体系统的分布式安全协同控制及其应用, 主持, 2022-20252. 北京市自然科学基金-面上项目：网络化非线性系统的数据驱动预测控制方法研究及其应用, 主持, 2022-20243. 国家自然科学基金-面上项目：异质多智能体系统的能控性研究，参与，2018-20214. 国家自然科学基金-面上项目：网络化非线性系统典型攻击检测与容侵输出跟踪控制，主持，2017-20205. 北京市自然科学基金-面上项目：典型攻击和通信约束下网络化线性系统的容侵预测控制，主持，2018-20196. 国家自然科学基金-重大国际合作项目：旋翼无人机群安全编队飞行中的若干关键理论问题研究，参与，2013-2017 7. 北京市自然科学基金-面上项目：基于模型预测的不确定网络化系统输出跟踪控制，主持，2015-20168. 国家自然科学基金-青年项目：典型主动攻击下网络化控制系统的安全性研究，主持，2013-20159. 山东省优秀中青年科学家科研奖励基金：网络化随机控制系统的欺骗攻击检测方法研究，主持，2013-2015 10. 中国博士后基金项目：基于模型的网络化系统输出跟踪控制，主持，2013-2014 国内外学术活动
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北方工业大学

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