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肖峰

姓名:肖峰

职称:教授,博士生导师

研究方向(Focus Area):

1、网络化系统分布控制、多智能体系统协同控制

2、分布式决策与优化、群体智能、博弈控制系统

3、新型电力系统、智能电网、电力系统建模与仿真

联系方式:

办公地址:主楼E645

电子邮箱:fengxiao@ncepu.edu.cn

电话:010-61772026

一、个人简介及主要荣誉称号

肖峰,男,天津人,国家级领军人才,国家优秀青年科学基金获得者,入选教育部“新世纪优秀人才支持计划”。北京大学博士,加拿大阿尔伯塔大学博士后,2008年—2012年,北京理工大学自动化学院讲师、副教授;2012年—2018年,哈尔滨工业大学教授、博导;2012年入选哈尔滨工业大学人才引进“百人计划”第三层次;2016年聘为哈尔滨工业大学长聘教授;2016年—2017年,加拿大维多利亚大学访问学者;2018—今,世界杯官网教授、博导。担任中国自动化学会控制理论专业委员会(TCCT)委员、中国控制会议(CCC)程序委员会委员(2014-2026)、《系统科学与数学》编委会编委等职务。

二、教学与人才培养情况

教学:

本科课程:人工智能原理与方法(专选课)、控制原理与应用(人工智能专业)、自动控制原理B

研究生课程:网络化群体智能(人工智能交叉学科)

人才培养:

戴明哲:中南大学副教授

魏波:世界杯官网副教授

蔡鑫:新疆大学副教授,2024年第二十届中国青年女科学家奖候选人,“天山英才”培养计划青年拔尖人才

刘品:世界杯官网讲师

张晓丹:北京大学博雅博士后

王晓宇:北京物资学院教师

三、主要科研项目情况

纵向项目

[1]2023-2026:《基于信息物理系统的微电网安全控制与优化》,国家自然科学基金—面上项目

[2]2022.11-2025.10:《全工况动态特性模拟装置及系统联合仿真与安全性校核虚拟测试技术》,国家重点研发计划课题

[3]2022-2024:《基于博弈的多智能体系统协同控制与优化》,北京市自然科学基金—面上项目

[4]2019-2022:《基于采样的异步多智能体系统协同控制研究》,国家自然科学基金—面上项目

[5]2015-2017:《事件驱动群体系统协同控制》,国家自然科学基金—优秀青年科学基金项目

[6]2014年度留学人员科技活动项目择优资助—启动类,人力资源和社会保障部

[7]2014-2016:教育部“新世纪优秀人才支持计划”资助项目

[8]2013-2016:《多智能体系统的分布式采样一致性控制》,国家自然科学基金—面上项目

[9]2010-2012:《多智能体网络系统的一致性协调控制》,国家自然科学基金—青年基金项目

[10]2010-2012:《复杂环境下多机器人系统的队形控制》,教育部高等学校博士学科点专项科研基金

四、主要获奖

[1]2020-2025: 爱思唯尔中国高被引学者

[2]2017: 国家自然科学奖二等奖(项目名称:网络化动态系统的分析与控制)

[3]2016: 教育部自然科学奖一等奖(项目名称:网络化动态系统的分析与控制)

[4]2014: 国家自然科学奖二等奖(项目名称:分布式协同控制的混合智能优化与稳定性)

[5]2014: 教育部自然科学奖一等奖(项目名称:分布式协同控制的智能优化与稳定性)

[6]2014: 国家优秀青年科学基金获得者, 国家自然科学基金委

[7]2013: 新世纪优秀人才支持计划, 教育部

[8]2010: Izaak Walton Killam Memorial Postdoctoral Fellowship, University of Alberta, Edmonton, Canada

[9]2010: Dorothy J Killam Memorial Postdoctoral Fellow Prize, University of Alberta, Edmonton, Canada

[10]2018:2017年《中国科学:信息科学》十年经典论文奖

[11]Automatica高被引论文奖

五、代表性论著

[1]Q. Feng, F. Xiao, X. Wang (2025). State estimator design: Addressing general delay structures with dissipative constraints. IEEE Transactions on Automatic Control, 70(7), 4254-4269.

[2]S. Li, F. Xiao, A. Wang, Y. Zheng (2025). Distributed observers for linear time-invariant systems with time-varying delays: A switching event-triggered approach. IEEE Transactions on Cybernetics, 55(9), 4441-4452.

[3]F. Xiao, Y. Liu, X. Zhang, B. Wei (2025). Fully distributed event-triggered security control for DC microgrids subject to DoS attacks. IEEE Transactions on Smart Grid, 16(2), 929-941.

[4]X. Cai, F. Xiao, B. Wei, A. Wang (2024). Distributed event-triggered aggregative optimization with applications to price-based energy management. Automatica, 161, 111508.

[5]P. Liu, F. Xiao, B. Wei, M. Yu (2024). Generalized Nash Equilibrium seeking for noncooperative games with heterogeneous individual dynamics. IEEE Transactions on Automatic Control, 69(4), 2492-2499.

[6]J. Li, F. Xiao, B. Wei, A. Wang, F. Fang (2024). Prescribed-time multiple-stage control for voltage regulation and optimal current sharing in DC microgrids. IEEE Transactions on Smart Grid, 15(6), 5256-5268.

[7]F. Xiao, L. Wang, T. Chen (2023). Stability and performance of asynchronous sampled-data interconnected systems: An integral approach. IEEE Transactions on Automatic Control, 68(11), 6789-6796.

[8]P. Liu, K. Lu, F. Xiao, B. Wei, Y. Zheng (2023). Online distributed learning for aggregative games with feedback delays. IEEE Transactions on Automatic Control, 68(10), 6385-6392.

[9]X. Cai, F. Xiao, B. Wei, F. Fang (2023). Distributed continuous-time strategy-updating rules for noncooperative games with discrete-time communication. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(7), 4477-4486.

[10]X. Cai, F. Xiao, B. Wei, M. Yu, F. Fang (2023). Nash Equilibrium seeking for general linear systems with disturbance rejection. IEEE Transactions on Cybernetics, 53(8), 5240-5249.

[11]X. Cai, F. Xiao, B. Wei (2023). Resilient Nash Equilibrium seeking in multiagent games under false data injection attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1), 275-284.

[12]F. Xiao, Y. Shi, T. Chen (2021). Robust stability of networked linear control systems with asynchronous continuous- and discrete-time event-triggering schemes. IEEE Transactions on Automatic Control, 66(2), 932-939.

[13]B. Wei, F. Xiao, F. Fang, Y. Shi (2021). Velocity-free event-triggered control for multiple Euler-Lagrange systems with communication time-delays. IEEE Transactions on Automatic Control, 66(11): 5599-5605.

[14]J. Yang, F. Xiao, T. Chen (2021). Formation tracking of nonholonomic systems on the Special Euclidean group under fixed and switching topologies: An affine formation Strategy. SIAM Journal on Control and Optimization, 59(4), 2850-2874.

[15]B. Wei, F. Xiao (2021). Distributed consensus control of linear multi-agent systems with adaptive nonlinear couplings. IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(2), 1365-1370.

[16]J. Yang, F. Xiao, T. Chen (2020). Event-triggered formation tracking control of nonholonomic mobile robots without velocity measurements. Automatica, 112, 108671.

[17]B. Wei, F. Xiao, Y. Shi (2020). Fully distributed synchronization of dynamic networked systems with adaptive nonlinear couplings. IEEE Transactions on Cybernetics, 50(7), 2926-2934.

[18]B. Wei, F. Xiao, Y. Shi (2020). Synchronization in Kuramoto oscillator networks with sampled-data updating law. IEEE Transactions on Cybernetics, 50(6), 2380-2388.

[19]F. Xiao, Y. Shi, W. Ren (2018). Robustness analysis of asynchronous sampled-data multi-agent networks with time-varying delays. IEEE Transactions on Automatic Control, 63(7), 2145–2152.

[20]F. Xiao, T. Chen (2018). Adaptive consensus in leader-following networks of heterogeneous linear systems. IEEE Transactions on Control of Network Systems, 5(3), 1169-1176.

[21]F. Xiao, T. Chen, H. Gao (2016). Synchronous hybrid event- and time-driven consensus in multiagent networks with time delays. IEEE Transactions on Cybernetics, 46(5), 1165–1174.

[22]M. Cao, F. Xiao, L. Wang (2015). Event-based second-order consensus control for multi-agent systems via synchronous periodic event detection. IEEE Transactions on Automatic Control, 60(9), 2452–2457.

[23]F. Xiao, L. Wang, T. Chen (2014). Finite-time consensus in networks of integrator-like dynamic agents with directional link failure. IEEE Transactions on Automatic Control, 59(3), 756–762.

[24]F. Xiao, T. Chen (2012). Sampled-data consensus for multiple double integrators with arbitrary sampling. IEEE Transactions on Automatic Control, 57(12), 3230–3235.

[25]F. Xiao, L. Wang, T. Chen (2012). Connectivity preservation for multi-agent rendezvous with link failure. Automatica, 48(1), 25–35.

[26]F. Xiao, L. Wang (2012). Asynchronous rendezvous analysis via set-valued consensus theory. SIAM Journal on Control and Optimization, 50(1), 196–221.

[27]L. Wang, F. Xiao (2010). Finite-time consensus problems for networks of dynamic agents. IEEE Transactions on Automatic Control, 55(4), 950–955.

[28]F. Xiao, L. Wang, J. Chen, Y. Gao (2009). Finite-time formation control for multi-agent systems. Automatica, 45(11), 2605–2611.

[29]F. Xiao, L. Wang (2008). Asynchronous consensus in continuous-time multi-agent systems with switching topology and time-varying delays. IEEE Transactions on Automatic Control, 53(8), 1804–1816.

[30]F. Xiao, L. Wang (2008). Consensus protocols for discrete-time multi-agent systems with time-varying delays. Automatica, 44(10), 2577–2582.

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