Research Institute of Intelligent Complex Systems 简称IICS
time:2021-05-27 view:2797

Jin Xin  Principal Investigator


Research Institute of Intelligent Complex Systems, Fudan University


E-mail: xinjin@fudan.edu.cn

URL:https://jx9810.github.io/


Biography

Jin Xin’s research interest includes collaborative control and decision making of networked multi-body systems and their applications. He has published more than 20 academic papers in important international journals and top conferences, 2 of which are published in Automatica and 2 of which are published on IEEE TAC. Meanwhile, he serves as a reviewer for several IEEE Transactions journals. He was selected in the China Association for Science and Technology Young Elite Scientist Sponsorship Program by Cast, the Shanghai Starting Star (Sailing Special) program, and 2021 Shanghai 'Super Postdoctoral Researcher' incentive program. He chaired two projects of China Postdoctoral Researcher Science Foundation, participated in key projects of the National Natural Science Foundation as the technical leader, and participated in many projects of the Central Military Commission Science and Technology Commission and the National Natural Science Foundation.

Education

2016.9-2021.6  Ph.D.  School of Information Science and Engineering, East China University Of Science and Technology

2019.9-2020.9  Joint Ph.D.  University Of Victoria

2012.9-2016.6  B.Sc.  School of Automation, Guangdong University of Technology

Professional Background

2023.9-current   Junior Principal Investigator  Research Institute of Intelligent Complex Systems, Fudan University

2012.7-2023.8    Postdoctoral researcher   School of Information Science and Engineering, East China University Of Science and Technology

2023.1-2023.4    Postdoctoral researcher  Department of Mathematics, City University of Hong Kong

Representative Publications

[1].Yang Tang*, Xin Jin*, Yang Shi, and Wenli Du*, “Event-triggered attitude synchronization of multiple rigid body systems with velocity-free measurements,” Automatica, vol. 143, p. 110460, 2022.

[2].Xin Jin, Yang Shi, Yang Tang*, Herbert Werner, and Jürgen Kurths, “Event-triggered Fixed-time Attitude Consensus with Fixed and Switching Topologies,” IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4138-4145, 2022.

[3].Xin Jin, Yang Shi, Yang Tang*, and Xiaotai Wu, “Event-triggered attitude consensus with absolute and relative attitude measurements,” Automatica, vol. 122, p. 109245, 2020.

[4].Dandan Zhang, Xin Jin, and Hongye Su*, “Robust Global Attitude Control: Random Reset Rule,” IEEE Transactions on Automatic Control, accepted, 2022.

[5].Xin Jin, Yang Tang*, Yang Shi, Wenle Zhang, and Wei Du, “Event-triggered formation control for A Class of Uncertain Euler-Lagrange Systems: Theory and Experiment,” IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 336-343,Jan.2022.

[6].Xin Jin, Wei Du, Wangli He, Ljupco Kocarev, Yang Tang*, and Jürgen Kurths, “Twisting-Based Finite-Time Consensus for Euler-Lagrange Systems with an Event-Triggered Strategy,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1007–1018, 2020.

[7].Xin Jin, Shuai Mao, Ljupco Kocarev, Chen Liang, Saiwei Wang, Yang Tang*, “Event-Triggered Optimal Attitude Consensus of Multiple Rigid Body Networks with Unknown Dynamics,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3701-3714, Sept.-Oct. 2022.  

[8].Dandan Zhang, Yang Tang*, Xin Jin, Jürgen Kurths, “Quaternion-Based Attitude Synchronization with An Event-Based Communication Strategy,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 3, pp. 1333-1346,March, 2022.

[9].Yang Tang*, Dandan Zhang, Xin Jin, Dachen Yao, Feng Qian, “A Resilient Attitude Tracking Algorithm for Mechanical Systems,” IEEE/AMSE Transactions on Mechatronics, vol. 24, no. 6, pp. 2550-2561, 2020.

[10].Saiwei Wang, Xin Jin, Shuai Mao, A. V. Vasilakos and Yang Tang*, “Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning,” IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, pp. 246-258, 1 Jan.-March 2021.


time:2021-05-27 view:2797

Jin Xin  Principal Investigator


Research Institute of Intelligent Complex Systems, Fudan University


E-mail: xinjin@fudan.edu.cn

URL:https://jx9810.github.io/


Biography

Jin Xin’s research interest includes collaborative control and decision making of networked multi-body systems and their applications. He has published more than 20 academic papers in important international journals and top conferences, 2 of which are published in Automatica and 2 of which are published on IEEE TAC. Meanwhile, he serves as a reviewer for several IEEE Transactions journals. He was selected in the China Association for Science and Technology Young Elite Scientist Sponsorship Program by Cast, the Shanghai Starting Star (Sailing Special) program, and 2021 Shanghai 'Super Postdoctoral Researcher' incentive program. He chaired two projects of China Postdoctoral Researcher Science Foundation, participated in key projects of the National Natural Science Foundation as the technical leader, and participated in many projects of the Central Military Commission Science and Technology Commission and the National Natural Science Foundation.

Education

2016.9-2021.6  Ph.D.  School of Information Science and Engineering, East China University Of Science and Technology

2019.9-2020.9  Joint Ph.D.  University Of Victoria

2012.9-2016.6  B.Sc.  School of Automation, Guangdong University of Technology

Professional Background

2023.9-current   Junior Principal Investigator  Research Institute of Intelligent Complex Systems, Fudan University

2012.7-2023.8    Postdoctoral researcher   School of Information Science and Engineering, East China University Of Science and Technology

2023.1-2023.4    Postdoctoral researcher  Department of Mathematics, City University of Hong Kong

Representative Publications

[1].Yang Tang*, Xin Jin*, Yang Shi, and Wenli Du*, “Event-triggered attitude synchronization of multiple rigid body systems with velocity-free measurements,” Automatica, vol. 143, p. 110460, 2022.

[2].Xin Jin, Yang Shi, Yang Tang*, Herbert Werner, and Jürgen Kurths, “Event-triggered Fixed-time Attitude Consensus with Fixed and Switching Topologies,” IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4138-4145, 2022.

[3].Xin Jin, Yang Shi, Yang Tang*, and Xiaotai Wu, “Event-triggered attitude consensus with absolute and relative attitude measurements,” Automatica, vol. 122, p. 109245, 2020.

[4].Dandan Zhang, Xin Jin, and Hongye Su*, “Robust Global Attitude Control: Random Reset Rule,” IEEE Transactions on Automatic Control, accepted, 2022.

[5].Xin Jin, Yang Tang*, Yang Shi, Wenle Zhang, and Wei Du, “Event-triggered formation control for A Class of Uncertain Euler-Lagrange Systems: Theory and Experiment,” IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 336-343,Jan.2022.

[6].Xin Jin, Wei Du, Wangli He, Ljupco Kocarev, Yang Tang*, and Jürgen Kurths, “Twisting-Based Finite-Time Consensus for Euler-Lagrange Systems with an Event-Triggered Strategy,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1007–1018, 2020.

[7].Xin Jin, Shuai Mao, Ljupco Kocarev, Chen Liang, Saiwei Wang, Yang Tang*, “Event-Triggered Optimal Attitude Consensus of Multiple Rigid Body Networks with Unknown Dynamics,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3701-3714, Sept.-Oct. 2022.  

[8].Dandan Zhang, Yang Tang*, Xin Jin, Jürgen Kurths, “Quaternion-Based Attitude Synchronization with An Event-Based Communication Strategy,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 3, pp. 1333-1346,March, 2022.

[9].Yang Tang*, Dandan Zhang, Xin Jin, Dachen Yao, Feng Qian, “A Resilient Attitude Tracking Algorithm for Mechanical Systems,” IEEE/AMSE Transactions on Mechatronics, vol. 24, no. 6, pp. 2550-2561, 2020.

[10].Saiwei Wang, Xin Jin, Shuai Mao, A. V. Vasilakos and Yang Tang*, “Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning,” IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, pp. 246-258, 1 Jan.-March 2021.