吳均峰，男，博士，百人計畫研究員，控制科學與工程學院博士生導師。
基本介紹
- 中文名：吳均峰
- 畢業院校：香港科技大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：網路控制系統、信息物理系統、卡爾曼濾波、狀態估計
- 就職院校：浙江大學
個人經歷,工作經歷,學習經歷,研究領域,學術任職,學術成果,期刊論文,會議論文,榮譽獎勵,
個人經歷
工作經歷
2017年06月-至今 浙江大學工業控制研究所孫優賢院士課題組 特聘研究員
2016年01月-2017年06月 瑞典皇家工學院 研究員（Researcher） 合作導師： Prof. Karl H. Johansson
2014年01月-2015年12月 瑞典皇家工學院 博士後 合作導師： Prof. Karl H. Johansson
2013年08月-2013年12月 香港科技大學 博士後 合作導師： Prof. Ling Shi
學習經歷
2009年09月-2013年08月 香港科技大學電子及計算機工程 博士 導師： Prof. Ling Shi
2005年09月-2009年07月 浙江大學自動化 學士
研究領域
學術任職
國際學術期刊職務
- Associate Editor, The 18th European Control Conference, Saint Petersburg, Russia, May 2020.
- Technical Associate Editor, Stochastic Systems Technical Committee, The 21st IFAC World Congress, Berlin, Germany, Jul. 2020.
- Associate Editor, the 15th IEEE International Conference on Control and Automation (ICCA19), Edinburgh, Scotland, Jul. 2019
- Leading Guest Editor: IET Control Theory and Applications Special Issue on Resource Optimization and Control of Cyber-Physical Systems
- Guest Editor: Neurocomputing Special Issue on Distributed Control and Optimization with Resource-Constrained Networked Systems
- Member, IEEE Technical Committee on Networks and Communications, Mar. 2019 – 至今
- Session Organizer, Invited Session “New advances on the Theory and Application of Multi-agent Systems”, the 38th Chinese Control Conference(CCC19), Guangzhou, China, Jul. 2019
- Session Organizer, Invited Session “Distributed Sensing, Control and Automation”, the 58th Conference on Decision and Control(CDC19), Nice, France, Dec. 2019
國際期刊和重要會議審稿人
IEEE Trans. Automatic Control
Automatica
IEEE Trans. Signal Processing
Systems & Control Letters
International Journal of Robust and Nonlinear Control
IEEE Trans. Control Systems Technology
American Control Conference
IEEE Conference on Decision and Control
European Control Conference
學術成果
期刊論文
[31] Tao Yang, Jemin George, Jiahu Qin, Xinlei Yi, andJunfengWu, “Distributed Finite-time Least Squares Solver for Network Linear Equations”, Automatica, accepted, (Regular Paper)
[30]Jiahu Qin, Weiming Fu,JunfengWu, Wei Xing Zheng, and Yu Kang, “Interval Consensus over Random Networks”, Automatica, provisionally accepted.
[29]Tao Yang, Xinlei Yi,JunfengWu, Ye Yuan, DiWu, Ziyang Meng, Yiguang Hong, HongWang, Zongli Lin, and Karl H Johansson, “A survey of distributed optimization”, Annual Reviews in Control, accepted.
[28] Yuan Huang, JunzhengWang, Dawei Shi,JunfengWu, and Ling Shi, “Event-triggered Sampled-data Control: an Active Disturbance Rejection Approach”, IEEE/ASME Transactions on Mechatronics,accepted,(Regular Paper)
[27] Duo Han, Yilin Mo,JunfengWu, SeanWeerakkody, Bruno Sinopoli, and Ling Shi, “Stochastic Eventtriggered Sensor Schedule for Remote State Estimation”, IEEE Transactions on Automatic Control, vol. 66, issue 18, 2018.
[26] Xiufang Shi,Junfeng Wu, To Hide Private Position Information in Localization Using Time Difference of Arrival, IEEE Transactions on Signal Processing, vol.66, issue.18, pp. 4946 - 4956, 2018,(Regular Paper)
[25] Xinlei Yi , Tao Yang ,Junfeng Wu*, Karl H. Johansson,Distributed Event-Triggered Control for Global Consensus of Multi-Agent Systems with Input Saturation,Automatica, 2019,(Regular Paper)
[24]Junfeng Wu,Guodong Shi, Brian D. O. Anderson, and Karl H. Johansson, Kalman Filtering over Fading Channels: Zero-One Laws and Almost Sure Stabilities,IEEE Transactions on Information Theory, accepted,(Regular Paper)
[23]Xiaoqiang Ren,Junfeng Wu*, Subhrakantim Dey, Ling Shi, AttackAllocation on Remote State Estimation in Multi-Systems: Structural Results and Asymptotic Solution,Automatica, Jan 2018,(Regular Paper)
[22]Bo Li,Junfeng Wu, Hongsheng Qi, Alexandre Proutiere, and Guodong Shi,Boolean Gossiping Networks, IEEE Transactions on Networking,IEEE/ACM Transactions on Netowrking,Feb 2018,(Regular Paper)
[21]Junfeng Wu, Guodong Shi, Brian D. O. Anderson, and Karl H. Johansson, Kalman Filtering over Gilbert-Elliott Channels: Stability Conditions and the Critical Curve, IEEE Transactions on Automatic Control, Apr 2018,(Regular Paper)
[20]Junfeng Wu, Tao Yang, Di Wu, Karanjit Kalsi, and Karl H. Johansson, Distributed Optimal Dispatch of Distributed Energy Resources over Lossy Communication Networks, IEEE Transactions on Smart Grid, Jun 2017,(Regular Paper)
[19]Xiaoqiang Ren,Junfeng Wu*, Karl Henrik Johansson, Guodong Shi, and Ling Shi,Infinite Horizon Optimal Transmission Power Control for Remote State Estimation over Fading Channels, IEEE Transactions on Automatic Control, Jan 2018,(Regular Paper)
[18]Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Ling Shi Improved Results on Transmission Power Control for Remote State Estimation, Systems & Control Letters,Sep 2017.
[17]Yuzhe Li,Junfeng Wu*, and Tongwen Chen, Transmit Power Control and Distributed State Estimation with Sensor Networks: A Bayesian Inference Approach, Automatica, vol. 97. pp. 292-300, Nov 2018
[16]Tao Yang, Jie Lu, Di Wu, Guodong Shi, Ziyang Meng, and Karl H. Johansson, Distributed Algorithm for Economic Dispatch over Time-Varying Directed Networks with Delays, IEEE Transactions on Industrial Electronics, vol. 64, pp. 5095-5106, Jun 2017,(Regular Paper)
[15]Duo Han,Junfeng Wu, Yilin Mo, Lihua Xie, On Stochastic Sensor Network Scheduling for Multiple Processes, IEEE Transactions on Automatic Control, Dec 2017.
[14]Heng Zhang, Yifei Qi,Junfeng Wu, Lingkun Fu, and Lidong He, DOS Attack Energy Management against Remote State Estimation, IEEE Transactions on Control of Network Systems, Mar. 2018,(Regular Paper)
[13]Duo Han,Junfeng Wu*,Huanshui Zhang, and Ling Shi, Optimal sensor scheduling for multiple linear dynamical systems. Automatica, Jan. 2017,(Regular Paper)
[12]Junfeng Wu, Xiaoqiang Ren, Duo Han, Dawei Shi, and Ling Shi, Finite-horizon Gaussianity-Preserving Event-based Sensor Scheduling in Kalman Filter Applications, Automatica Oct 2016.
[11]Duo Han, Yilin Mo,Junfeng Wu, and Ling Shi, An Opportunistic Sensor Scheduling Solution to Remote State Estimation over Multiple Channels, IEEE Transactions on Signal Processing, Sep 2016,(Regular Paper)
[10]Junfeng Wu, Ziyang Meng, Tao Yang, Guodong Shi, and Karl H. Johansson, Sampled-data Consensus over Random Networks, IEEE Transactions on Signal Processing, Sep 2016,(Regular Paper)
[9]Duo Han, Keyou You, Lihua Xie,Junfeng Wu*, and Ling Shi, Optimal Parameter Estimation under Controlled Communication over Sensor Networks, IEEE Transactions on Signal Processing, Dec 2015.(Regular Paper)
[8]Junfeng Wu, Ling Shi, Lihua Xie, and Karl H. Johansson, An Improved Stability Condition for Kalman Filtering with Bounded Markovian Packet Losses, Automatica, volume 62,Dec 2015.
[7]Chao Yang,Junfeng Wu,Xiaoqiang Ren, Wen Yang, Hongbo Shi, and Ling Shi, Deterministic Sensor Scheduling for Centralized State Estimation under Limited Communication Resources, IEEE Transactions on Signal Processing, 2015.(Regular Paper)
[6]Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Vincent Lau, and Ling Shi, Data-driven Power Control for State Estimation: A Bayesian Inference Approach, Automatica,2015.
[5]Duo Han, Yilin Mo,Junfeng Wu, Sean Weerakkody, Bruno Sinopoli, and Ling Shi,Stochastic Event-triggered Sensor Schedule for Remote State Estimation, IEEE Transactions on Automatic Control,2015,(Regular Paper)
[4]Junfeng Wu,Karl H. Johansson, and Ling Shi, A Stochastic Online Sensor Scheduler for Remote State Estimation with Time-out Condition, IEEE Transactions on Automatic Control, 2014.
[3]Chao Yang,Junfeng Wu, Wei Zhang, and Ling Shi, Schedule Communication for Decentralized State Estimation, IEEE Transactions on Signal Processing,2013,(Regular Paper)
[2]Junfeng Wu,Ye Yuan, Huanshui Zhang, and Ling Shi,How Can Online Schedules Improve Communication and Estimation Tradeoff?, IEEE Transactions on Signal Processing,2013,(Regular Paper)
[1]Junfeng Wu, Qing-Shan Jia, Karl H. Johansson, and Ling Shi, Event-based Sensor Data Scheduling: Trade-off Between Communication Rate and Estimation Quality, IEEE Transactions on Automatic Control,2013.
會議論文
[21]Yang Liu,JunfengWu, Ian R. Manchester, and Guodong Shi, “Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers”, The 2018 IEEE Conference on Decision and Control, Miami, USA, 2018.
[20]Yang Liu,JunfengWu, Ian R. Manchester, and Guodong Shi, “Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions”, The 2018 IEEE Conference on Decision and Control, Miami, USA, 2018.
[19]Takuya Iwaki,JunfengWu, and Karl Henrik Johansson, “Event-triggered Feedforward Control subject to Actuator Saturation for Disturbance Compensation”, The 2018 European Control Conference, Limassol, Cyprus, 2018.
[18]Jieqiang Wei, Christos Verginis,JunfengWu, Dimos V Dimarogonas, Henrik Sandberg, and Karl H Johansson, “Asymptotic and finite-time almost global attitude tracking: representations free approach”,Limassol, Cyprus, 2018.
[17]Yuchi Wu, Takuya Iwaki,JunfengWu, Karl Henrik Johansson, and Ling Shi, “Sensor selection and routing design for state estimation over wireless sensor networks”, The 36th Chinese Control Conference, Dalian, China, 2017.
[16] Takuya Iwaki, Yuchi Wu,Junfeng Wu, Henrik Sandberg, Karl Henrik Johansson “Wireless sensor network scheduling for remote estimation under energy constraints”, The 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.
[15] Enoch Kung,Junfeng Wu, Dawei Shi, Ling Shi “On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop”, American Control Conference, pp. 1233-1237, 2017.
[14] Heng Zhang, Yifei Qi,Junfeng Wu“Optimal jamming power allocation against remote state estimation”, American Control Conference, 2017.
[13] Duo Han, Junfeng Wu, Yilin Mo, and Lihua Xie “Stochastic Sensor Scheduling for Multiple Dynamical Processes over a Shared Channel”, The 55th IEEE Conference on Decision and Control, USA, 2016.
[12]Junfeng Wu, Ziyang Meng, Tao Yang, Guodong Shi, and Karl H. Johansson, “Critical Sampling Rate for Sampled-Data Consensus over Random Networks”, The 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.
[11] Duo Han, Keyou You, Lihua Xie,Junfeng Wu, and Ling Shi “Stochastic Packet Scheduling for Optimal Parameter Estimation”, The 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.
[10]Junfeng Wu, Guodong Shi, Brain D. O. Anderson, Karl H. Johansson, “Stability Conditions and Phase Transition for Kalman Filtering over Markovian Channel”, The 34th Chinese Control Conference, Hangzhou, China, 2015, accepted (Guan Zhao-Zhi Best Paper Award).
[9]Junfeng Wu,and Karl H. Johansson, “Peak Covariance Stability of Kalman Filtering with Markovian Packet Losses”, The 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, Hong Kong, 2014.
[8]Junfeng Wu, Guodong Shi, and Karl H. Johansson, “Probabilistic Convergence of Kalman Filtering over Nonstationary Fading Channel”, The 53rd IEEE Conference on Decision and Control, Los Angeles, USA, 2014.
[7] Heng Zhang, Peng Cheng,Junfeng Wu, and Jiming Chen, “Online Deception Attack Against Remote State Estimation”, The 19th IFAC World Congress, Cape Town, South Africa, 2014.
[6] Duo Han, Yilin Mo,Junfeng Wu,Bruno Sinopoli, and Ling Shi, “Stochastic Event-triggered Sensor Scheduling for Remote State Estimation”, The 52nd IEEE Conference on Decision and Control, Florence, Italy, 2013.
[5]Junfeng Wu, Yilin Mo, and Ling Shi, “Stochastic Online Sensor Scheduler for Remote State Estimation”, The 1st IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, Taipei, 2013.
[4]Junfeng Wu, Karl H. Johansson, and Ling Shi, “An Improved Hybrid Sensor Schedule for Remote State Estimation under Limited Communication Resources”, The 51st IEEE Conference on Decision and Control, Maui, USA, 2012.
[3] Chao Yang,Junfeng Wu, Wei Zhang, and Ling Shi, “Communication Scheduling for Decentralized State Estimation”,The12thInternationalConferenceonControl,Automation,RoboticsandVision,Guangzhou, China, 2012.
[2] Chao Yang,Junfeng Wu, Wei Zhang, and Ling Shi, “Communication Topology Design under Limited Bandwidth”, The 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne, Australia, 2012.
[1]Junfeng Wu, Lihua Xie, and Ling Shi, “An Innovative Packet-Splitting Approach for Kalman Filtering over Lossy Networks”, The American Control Conference, San Francisco, USA, 2011.
榮譽獎勵
2017年 中國科協青年人才托舉
2016年 澳大利亞政府Endeavour Research Fellowship
2015年 第34屆中國控制會（CCC2015）關肇直獎
2014年 Automatica傑出審稿人
2014年 IEEE Trans. Control of Network Systems傑出審稿人
