Southwest University | China
Author Profile
Early Academic Pursuits 🎓
Education and Training
He, born in 1997, embarked on his academic journey with a strong foundation in applied mathematics. He earned his Bachelor of Science degree in Applied Mathematics from Chongqing Jiaotong University, Chongqing, China, in 2020. During his undergraduate years, Bingrui developed a keen interest in the mathematical underpinnings of system dynamics and control theory. His passion for understanding complex systems propelled him to pursue further studies.
In 2023, he received his Master of Science degree in System Science from the same university. His master’s research focused on the control theory of multi-agent systems, a field that involves the coordination and control of multiple interacting agents or systems. This research area is crucial for various applications, including robotics, automated transportation, and distributed computing. His dedication and hard work during his master’s program laid the groundwork for his future research endeavors.
Professional Endeavors 💼
Academic Positions
Currently, He is pursuing a Ph.D. degree in Computer Science and Technology at Southwest University, Chongqing, China. His doctoral research continues to focus on the control theory of multi-agent systems, aiming to develop innovative methods and strategies for the efficient and robust control of these complex systems. his academic pursuits are complemented by his role as a reviewer for several international journals, where he contributes to the academic community by evaluating and providing feedback on cutting-edge research.
Contributions and Research Focus on network control📚
- he has made significant contributions to the field of control theory, particularly in the context of multi-agent systems. His research primarily revolves around event-triggered state estimation and consensus algorithms for fractional-order systems. Fractional-order systems, which generalize classical integer-order systems, offer more accurate modeling of real-world phenomena and have numerous applications in engineering and science.One of his notable publications is “Event-Triggered State Estimation for Fractional-Order Neural Networks,” co-authored with B. Li and published in Mathematics in 2022. This paper, which has garnered 13 citations, explores innovative methods for state estimation in fractional-order neural networks, addressing key challenges in real-time system monitoring and control.
Another significant work is “Event-Triggered μ-state Estimation for Markovian Jumping Neural Networks with Mixed Time-Delays,” co-authored with C. Zou, B. Li, and F. Liu, and published in Applied Mathematics and Computation in 2022. This research, cited 7 times, delves into state estimation techniques for complex neural networks experiencing random jumps and mixed time-delays, contributing valuable insights to the field.
In 2023, Bingrui Xu and B. Li published “Dynamic Event-Triggered Consensus for Fractional-Order Multi-Agent Systems without Intergroup Balance Condition” in Fractal and Fractional. This paper, cited twice, investigates consensus algorithms for fractional-order multi-agent systems, focusing on achieving coordinated behavior without assuming intergroup balance conditions.
His most recent work, “Leader-Following Group Consensus of Fractional-Order Multi-Agent Systems Via a Dynamic Event-Triggered Control Strategy,” co-authored with B. Li and D. Zhang, was published in IEEE Transactions on Control of Network Systems in 2023. This research proposes a novel control strategy for achieving leader-following consensus in fractional-order multi-agent systems, offering practical solutions for real-world applications.
Accolades and Recognition 🏆
His academic excellence and research contributions have earned him recognition within the scientific community. His publications in high-impact journals highlight his ability to address complex problems and provide innovative solutions. His role as a reviewer for several international journals further underscores his expertise and commitment to advancing the field of control theory.
Impact and Influence 🌍
Community Impact
The impact of his research extends beyond academic circles. His work on event-triggered state estimation and consensus algorithms has practical implications for various industries, including robotics, transportation, and telecommunications. By improving the efficiency and reliability of multi-agent systems, his research contributes to the development of smarter and more autonomous systems capable of performing complex tasks with minimal human intervention.
Legacy and Future Contributions 🔮