秦家虎

导师介绍

姓名

秦家虎


 
工作单位

中国科学技术大学先进技术研究院/中国科学技术大学信息学院

学位/职称

博士;教授

办公室电话

0551-63601508

Email

jhqin@ustc.edu.cn

教育背景

2011 -- 2013  澳大利亚国立大学   博士研究生

2008 -- 2010  哈尔滨工业大学    博士研究生

2003 -- 2005  哈尔滨工业大学    硕士研究生

1999 -- 2003  哈尔滨工业大学    本科

 

研究方向

主要研究兴趣为多智能体系统分布式决策与控制、信息物理系统安全与控制、多机器人系统协同控制、复杂网络理论及其应用等。其中多智能体系统分布式决策与控制方向主要研究多智能体系统的学习与决策、竞争与协作及其在微分系统、智能电网和学习系统中的应用;信息物理系统安全与控制方向主要研究信息物理系统的攻击与防御、不同网络攻击环境下的远程估计与控制问题;多机器人系统协同控制方向主要基于多机器人平台进行多机器人系统的环境感知、路径规划、协同编队控制等应用算法研究。

任职经历

工作经历:

2015 - 至今  中国科学技术大学  教授

2013 - 2014  澳大利亚国立大学  Research Fellow

 

期刊/会议编委会任职:

《IEEE Trans. Industrial Informatics》编委(2017年~)

《Journal of The Franklin Institute》编委(2019年~)

《IEEE Trans. Industrial Electronics》专刊编委(2016年)

《Optimal Control Applications and Methods》编委(2016年~)

《Neurocomputing》 编委(2014年~)

《IEEE Access》 编委(2016年~)

IEEE控制系统学会会议编委会编委(2015年~)

 

学术组织任职:

中国自动化学会青年工作委员会副主任委员(2019年~)

安徽省自动化学会机器人与智能控制专委会副主任委员(2019年~)

中国自动化学会控制理论专业委员会委员(2018年~)

IEEE系统、人与控制论学会“Bio-mechatronics and Bio-robotics Systems”技术委员会委员(2017年~)

IEEE 工业电子学会“Industrial Cyber-Physical Systems”技术委员会委员(2015年~)

IEEE 工业电子学会“Data Driven Control and Monitoring”技术委员会委员(2015年~)

 

获得荣誉、奖项

获国家自然科学基金“优秀青年科学基金”资助,2019

获中国自动化学会“青年科学家奖”,2019

获教育部“霍英东青年教师基金”资助,2018

入选中国科学技术大学“学术领军人才培养计划”(A类),2018

获中国科学技术大学海外校友基金会“青年教师事业奖”,2017

获IEEE工业电子学会最佳会议论文奖(IES Best Conference Paper Award),2017

获IEEE控制系统学会Beijing Chapter青年作者奖,2017

IEEE Transactions on Automatic Control“杰出审稿人”,2015、2016

获中国科学院“卢嘉锡青年人才奖”,2015

入选教育部“新世纪优秀人才支持计划”,2013

主持、参与项目

1、国家自然科学基金优秀青年科学基金项目(2020-2022,负责人)

项目名称:网络化系统的分布式协同与控制

 

2、国家自然科学基金面上项目(2019-2022,负责人)

项目名称:基于多智能体一致性理论的分布式数据聚类算法

 

3、霍英东青年教师基金项目(2018-2021,负责人)

项目名称:基于强化学习的多智能体系统协同与控制

 

4、国家自然科学基金面上项目(2015-2018,负责人)

项目名称:多智能体系统的聚类一致问题研究

论文、著作

已发表SCI期刊论文70余篇,其中自动控制领域旗舰期刊Automatica及IEEE Trans.汇刊论文50余篇。部分期刊论文列表如下(*通讯作者):

 

[1] Weiming Fu, Jiahu Qin*, Junfeng Wu, Wei Xing Zheng, and Yu Kang. Interval Consensus over Random Networks. Automatica, in press.

 

[2] Fangyuan Li, Jiahu Qin*, and Yu Kang. Closed-Loop Hierarchical Operation for Optimal Unit Commitment and Dispatch in Microgrids: A Hybrid System Approach. IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2019.2931293

 

[3] Weiming Fu, Jiahu Qin*, Yang Shi, and Wei Xing Zheng. Resilient Consensus of Discrete-Time Complex Cyber-Physical Networks under Deception Attacks. IEEE Trans. Industrial Informatics, DOI: 10.1109/TII.2019.2933596

 

[4] Fangyuan Li, Jiahu Qin*, and Wei Xing Zheng. Distributed Q-learning Based Online Optimization Algorithm for Unit Commitment and Dispatch in Smart Grid. IEEE Trans. Cybernetics, DOI: 10.1109/TCYB.2019.2921475.

 

[5] Zihan Chen, Jiahu Qin*, Bo Li, Hongsheng Qi, Peter Buchhorn, and Guodong Shi. Dynamics of opinions with social biases. Automatica, 2019, 106: 374-383.

 

[6] Jiahu Qin*, Yanni Wan, Xinghuo Yu, Fangyuan Li, and Chaojie Li. Consensus-Based Distributed Coordination between Economic Dispatch and Demand Response. IEEE Trans. Smart Grid, 2019, 10(4): 3709–3719.

 

[7] Fangyuan Li, Jiahu Qin*, and Yu Kang. Multi-Agent System Based Distributed Pattern Search Algorithm for Non-Convex Economic Load Dispatch in Smart Grid. IEEE Trans. Power Systems, 2019, 34(3): 2093–2102.

 

[8] Jiahu Qin*, Gaosheng Zhang, Wei Xing Zheng, and Yu Kang. Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multi-Agent Systems with Actuator Faults. IEEE Trans. Cybernetics, 2019, 49(5):1605–1615.

 

[9] Jiahu Qin*, ShuaiWang, Yu Kang, and Qingchen Liu. Circular Formation Algorithms for Multiple Nonholonomic Mobile Robots: An Optimization-Based Approach. IEEE Trans. Industrial Electronics, 2019, 66(5): 3693–3701.

 

[10] Jiahu Qin, Man Li, Yang Shi*, Qichao Ma, and Wei Xing Zheng. Optimal synchronization control of multiagent systems with input saturation via off-policy reinforcement learning. IEEE Trans. Neural Networks and Learning Systems, 2019, 30(1): 85–96.

 

[11] Jiahu Qin*, Weiming Fu, Yang Shi, and Huijun Gao, and Yu Kang. Leader-following Practical Cluster Synchronization for Networks of Generic Linear Systems: An Event-based Approach. IEEE Trans. Neural Networks and Learning Systems, 2019, 30(1): 215–224.

 

[12] Jiahu Qin*, Menglin Li, Ling Shi, and Xinghuo Yu. Optimal denial-of-service attack scheduling with energy constraint over packet-dropping networks. IEEE Trans. Automatic Control, 2018, 63(6): 1648-1663.

 

[13] Jiahu Qin*, Qichao Ma, Huijun Gao, and Wei Xing Zheng. Fault-Tolerant Cooperative Tracking Control via Integral Sliding Mode Technique. IEEE/ASME Trans. Mechatronics, 2018, 23(1): 342–351.

 

[14] Jiahu Qin*, Qichao Ma, Wei Xing Zheng, Huijun Gao, and Yu Kang. Robust H-infinity group consensus for interacting clusters of integrator agents. IEEE Trans. Automatic Control, 2017, 62 (7): 3559–3566.

 

[15] Jiahu Qin*, Qichao Ma, Huijun Gao, Yang Shi, and Yu Kang. On group synchronization for interacting clusters of heterogeneous systems. IEEE Trans.

Cybernetics, 2017, 47(12): 4122–4133.


[16] Jiahu Qin*, Wei Xing Zheng, Huijun Gao, Qichao Ma, and Weiming Fu. Containment control for secondorder multiagent systems communicating over heterogeneous networks. IEEE Trans. Neural Networks and Learning Systems, 2017, 28(9): 2143–2155.



[17] Jiahu Qin*, Weiming Fu, Wei Xing Zheng, and Huijun Gao. On the bipartite consensus for generic linear multiagent systems with input saturation. IEEE Trans. on Cybernetics, 2017, 47(8): 1948–1958.

 

[18] Jiahu Qin, Qichao Ma, Yang Shi*, and Long Wang. Recent advances in consensus of multi-agent systems: A brief survey. IEEE Trans. Industrial Electronics, 2017, 64(6): 4972–4983.

 

[19] Jiahu Qin*, Weiming Fu, Huijun Gao, and Wei Xing Zheng. Distributed k-Means Algorithm and Fuzzy c-Means Algorithm for Sensor Networks Based on Multi-Agent Consensus Theory. IEEE Trans. Cybernetics, 2017, 47(3): 772–783.

 

[20] Jiahu Qin, Changbin Yu*, and Brian D. O. Anderson. On leaderless and leader-following consensus for interacting clusters of double-integrator multi-agent systems. Automatica, 2016, 74: 214–221.

 

[21] Jiahu Qin*, Fangyuan Li, Shaoshuai Mou, and Yu Kang. Multi-timer based event synchronization control for sensor networks and its application. IEEE Trans. Industrial Electronics, 2016, 63(12): 7765–7775.

 

[22] Jiahu Qin*, Huijun Gao, and Wei Xing Zheng. Exponential synchronization of complex networks of linear system and nonlinear oscillators: A unified analysis. IEEE Trans. Neural Networks and Learning Systems, 2015, 26(3): 510–521.

 

[23] Jiahu Qin*, Changbin Yu, and Huijun Gao. Collective behavior for group of generic linear agents interacting under arbitrary network topology. IEEE Trans. Control of Network Systems, 2015, 2(3): 288–297.

 

[24] Jiahu Qin*, Huijun Gao, and Changbin Yu. On discrete-time convergence for general linear multi-agent systems under dynamic topology. IEEE Trans. Automatic Control, 2014, 59(4): 1054–1059.

 

[25] Jiahu Qin and Changbin Yu*. Exponential consensus of general linear multi-agent systems under directed dynamic topology. Automatica, 2014, 50(9): 2327–2333.


[26] Changbin Yu, Jiahu Qin*, and Huijun Gao. Cluster synchronization in directed     networks of partial-state coupled linear systems under pinning control. Automatica, 2014, 50(9): 2341–2349.



[27] Jiahu Qin*, Changbin Yu, and Huijun Gao. Coordination for linear multi-agent systems with dynamic interaction topology in the leader-following framework. IEEE Trans. Industrial Electronics, 2014, 61(5): 2412–2422.

 

[28] Jiahu Qin and Changbin Yu*. Cluster consensus control of generic linear multi-agent systems under directed topology with acyclic partition. Automatica, 2013, 49(9): 2898–2905.

 

[29] Jiahu Qin and Huijun Gao*. A sufficient condition for convergence of sampled-data consensus for double-integrator dynamics with nonuniform and time-varying communication delays. IEEE Trans. Automatic Control, 2012, 57(9): 2417–2422.

 

[30] Jiahu Qin, Wei Xing Zheng, and Huijun Gao*. Consensus of multiple second-order vehicles with a time-varying reference signal under directed topology. Automatica, 2011, 47(9): 1983–1991.