Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Date of Employment:1999-09-01
School/Department:School of Automation
Education Level:PhD Graduate
Business Address:room 110, Electronic Building, Railway Campus of Central South University
Sex:Male
Contact Information:+86 13549668182
Degree:Doctoral degree
Status:Employed
Alma Mater:Peking University
Discipline:Control Science and Engineering
Xiaohong Nian, male, Ph.D., was born in 1965 and he is also a second-level professor, and Ph.D. supervisor. He has been in engaged in control theory and application related studies, such as coordination control and optimization for complex multibody systems, multi-motor drive system control, UAV flight control, vision-based UAV navigation, Swarm Intelligence Control for UAV, coordination control for distributed power system, etc. He has chaired more than 10 projects at the provincial and ministerial level, including the National Natural Science Foundation projects, the National Science and Technology Support Plan projects, Hunan Natural Science Foundation, Hunan Natural Science Foundation, etc. Besides, he has published more that 100 papers in various high-level journals, such as Automatica, IEEE Transactions on Industrial Electronics, IEEE Transactions on Control System Technology, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robust and Nonlinear Control, IET Power Electronics, IET Control Theory & Applications, Journal of The Franklin Institute, International Journal of Control, Journal of Optimization Theory & Applications, Neurocomputing, International Journal Systems Science, Optimal Control Applications & Methods, ISA Transactions, Cognitive Computation, Acta Automatica Sinica, Control Theory and Applications, Control and Decision, Proceedings of the CSEE, in which more than 100 papers are included in SCI/EI.
Name of Research Group:Institute of Swarm Unmanned Systems
Description of Research Group:For many years, the Institute of Unmanned Swarm Systems has conducted extensive research in areas including distributed collaboration and optimized control for intelligent unmanned swarm systems, multi-swarm game confrontation and intelligent decision-making in complex networks, distributed learning and game theory in multi-agent systems, and intelligent decision control in complex systems engineering. The institute focuses on complex learning and control challenges across military, aviation, transportation, and general industrial systems, with systematic and in-depth research spanning distributed learning and optimization in multi-agent systems, distributed control, distributed games, multi-agent reinforcement learning, large-scale swarm confrontation, distributed control of unmanned systems, coordinated control and optimization in power systems, fault diagnosis and fault-tolerant control of complex systems, industrial process control and optimization, and the design of swarm-based unmanned systems.
The institute has led over ten national science and technology projects and National Natural Science Foundation projects and has published over 300 papers in leading international journals, such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, and Automatica. Additionally, it has authored multiple books on aircraft design and optimization. The team consists of six faculty members (including two professors and three associate professors) and over thirty graduate students, forming a well-structured, dynamic research group with complementary expertise.
Bilibili homepage: https://space.bilibili.com/406368674.
