Dr. Kangyue Chen | Control Systems | Best Researcher Award
Doctorate at Southwest Jiaotong University, China
Kangyue Chen is a researcher at Southwest Jiaotong University, Chengdu, China, focusing on advancing the field of multi-agent systems (MASs) and cyber-physical security. His work addresses critical challenges in maintaining security consistency within leader-following MASs, particularly under the threat of hybrid random cyber-attacks.
Profile
Scopus Profile
Research Focus
Chen specializes in multi-agent systems (MASs) and cyber-physical security, with a particular emphasis on developing adaptive control mechanisms to address security consistency issues. His research includes creating innovative protocols to enhance safety and operational efficiency in MASs under cyber-attack conditions.
Professional Journey
Chen is currently affiliated with Southwest Jiaotong University, where he has been involved in both research and academic activities. His professional journey reflects a commitment to advancing the field of MASs and addressing complex cyber-security challenges.
Publications Noted & Contributions
Chen’s notable work includes the development of the Sampled Information Related Adaptive Event-Triggered Control Mechanism (SIRAETCM). This mechanism addresses security consistency issues in leader-following MASs by adapting communication trigger thresholds and enhancing safety protocols. The simulation results demonstrate improvements in communication efficiency and system safety.
- Distributed Consensus Control Based on Double Event-Triggered Mechanism for Multi-Agent Systems with Irregular Switching Topologies Under Malicious Attacks
Chen, K., Xiong, L., Yan, H., Shi, K., Zhang, H.
Journal of the Franklin Institute, 2024, 361(15), 107075 - A Novel Adaptive Event-Triggered Security Consensus Control Mechanism for Leader-Following Multi-Agent Systems Under Hybrid Random Cyber Attacks
Xiong, L., Chen, K., Cao, J., Zhang, Y.
International Journal of Robust and Nonlinear Control, 2024 - Adaptive Event-Triggered H∞ Consensus of Leader-Following Multi-Agent Systems Under Hybrid Random Cyber Attacks
Chen, K., Xiong, L., Chen, J.
Proceedings of 2023 International Conference on New Trends in Computational Intelligence (NTCI 2023), 2023, pp. 205–210 - Adaptive Event-Triggered Control for Markovian Jump Multi-Agent Systems Under Hybrid Cyber Attacks
Chen, K., Xiong, L., Cao, J., Chen, J.
2023 9th International Conference on Control Science and Systems Engineering (ICCSSE 2023), 2023, pp. 349–354
Research Timeline
Chen’s research timeline indicates a focus on addressing cyber-security challenges in MASs. His recent publications reflect ongoing efforts to develop and validate adaptive control mechanisms to improve system security and performance.
Collaborations and Projects
Chen’s research involves collaboration with several co-authors, contributing to his publications and the development of innovative control mechanisms. His collaborative projects include work on adaptive event-triggered control mechanisms and security protocols for MASs.
Strengths of the Best Researcher Award
- Innovative Research Contributions
Kangyue Chen has made significant contributions to the field of multi-agent systems (MASs) and cyber-physical security. His development of the Sampled Information Related Adaptive Event-Triggered Control Mechanism (SIRAETCM) showcases his ability to create novel solutions to complex security challenges. - Focus on Practical Challenges
Chen’s research addresses real-world issues such as security consistency under hybrid random cyber-attacks and irregular switching topologies. This focus on practical and pressing problems demonstrates his commitment to advancing the field and improving system security. - High-Impact Publications
His work is published in reputable journals and conference proceedings, such as the Journal of the Franklin Institute and the International Journal of Robust and Nonlinear Control. These publications highlight the quality and relevance of his research. - Adaptive Control Mechanisms
Chen’s emphasis on adaptive control mechanisms, including adaptive event-triggered control and bilateral sampled-interval Lyapunov functional methods, illustrates his expertise in developing methods that dynamically adjust to varying conditions. - Collaborative Research Efforts
Chen collaborates with a diverse group of co-authors, enhancing the breadth and depth of his research. This collaborative approach fosters innovation and enriches the research outcomes.
Areas for Improvement
- Citation Impact
Currently, Chen’s publications have not received citations. Increasing the visibility and impact of his work through broader dissemination and engagement with the research community could enhance recognition. - Grant Funding
There are no awarded grants noted in Chen’s profile. Securing research grants could support further studies and expand the scope of his research projects. - Diverse Research Topics
While Chen’s work is highly specialized, exploring a broader range of topics within MASs and cyber-security might attract additional interest and diversify his research impact. - Broader Academic Network
Chen’s profile shows limited engagement with platforms like ORCID and Mendeley. Increasing his presence on these platforms could enhance networking opportunities and collaboration. - Inclusion of Preliminary Results
Including preliminary findings or preprints in his profile might offer a more comprehensive view of his research progress and ongoing work.
Conclusion
Kangyue Chen’s research at Southwest Jiaotong University is distinguished by its innovative approach to multi-agent systems and cyber-physical security. His development of adaptive control mechanisms and focus on practical security challenges reflect his significant contributions to the field. Despite the lack of citations and grants, Chen’s high-impact publications and collaborative efforts showcase his potential for further advancement. Enhancing his citation record, securing funding, and broadening his research scope could further strengthen his profile and impact