Xiao-Jie Peng | Control science | Best Researcher Award

Published on by Academic Awards

Assist. Prof. Dr. Xiao-Jie Peng | Control science | Best Researcher Award

Assist. Prof. Dr. Xiao-Jie Peng, Southwest University, China

Assist. Prof. Dr. Xiao-Jie Peng is an accomplished scholar in control theory and intelligent systems, currently serving as Assistant Professor at the College of Electronic and Information Engineering, Southwest University. He earned his Ph.D. in Automation from the China University of Geosciences (Wuhan) under Prof. Yong He, and a Bachelor’s degree in Electrical Engineering from Hunan University of Science and Technology. Dr. Peng’s research focuses on multi-agent systems, formation control, neural networks, and fractional-order systems, with significant contributions published in top-tier journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Automation Science and Engineering. As a principal member of a National Natural Science Foundation of China project, he worked on advanced controller designs using Lyapunov functions. He has presented at international conferences like ICCAS and CCC and has received multiple honors, including the 2023 National Doctoral Graduate Scholarship. Dr. Peng is recognized for his innovative work in robust and intelligent control systems.

Publication Profile

Google Scholar

Academic Background

Assist. Prof. Dr. Xiao-Jie Peng has built a strong academic foundation in the fields of automation and electronic engineering. He is currently serving as an Assistant Professor at the College of Electronic and Information Engineering, Southwest University, under the guidance of group leader Prof. Hongyi Li since June 2024. Dr. Peng earned his Doctoral degree from the School of Automation at China University of Geosciences (Wuhan), where he studied from September 2018 to June 2024 under the supervision of Prof. Yong He. His doctoral research focused on advanced control methods in complex systems, particularly multi-agent dynamics and delayed systems. Prior to his doctoral studies, he completed his Bachelor’s degree in Information and Electrical Engineering at Hunan University of Science and Technology from September 2013 to June 2017. This progressive academic journey has equipped him with deep expertise in system control, signal processing, and intelligent automation, laying the groundwork for his impactful research career.

Research Project Involvement

Assist. Prof. Dr. Xiao-Jie Peng served as a principal member of a significant research project funded by the National Natural Science Foundation of China (NSFC), titled “Analysis and Controller Design of Fractional-Order Systems Based on Relaxed-Type Lyapunov Functions” (Project No. 61973284). This project focused on developing innovative methods for analyzing and designing controllers for fractional-order dynamic systems, which are known for their ability to model real-world processes more accurately than traditional integer-order systems. Dr. Peng’s role involved theoretical development and practical implementation of relaxed-type Lyapunov functions to enhance the stability, robustness, and performance of control systems with fractional-order characteristics. His contributions were instrumental in advancing control theory and provided valuable tools for optimizing complex nonlinear and time-delayed systems. This research reflects Dr. Peng’s expertise in mathematical modeling, system dynamics, and advanced control engineering, establishing him as a forward-thinking researcher in his domain.

Certifications and Honors

Assist. Prof. Dr. Xiao-Jie Peng has achieved several certifications and prestigious honors that reflect his academic excellence and dedication. He holds the College English Test Band 6 certificate and Computer Level 2 certification, demonstrating his strong communication and technical proficiency. Throughout his academic journey, he has been recognized with multiple accolades. In 2023, he was awarded the esteemed Doctoral Graduate National Scholarship in December and secured the First Prize in Graduate Student Academic Achievement in November. Additionally, he received the Second Prize at the Technology Paper Presentation Conference in December 2023. In 2022, he earned the Scholarship for Class 84 of the School and was honored with the Party Branch Organization Committee Member’s Certificate. Earlier, in 2019, he received the Excellent Paper Award, further acknowledging his research quality. These distinctions highlight his outstanding performance in both academic and extracurricular engagements within the scientific and engineering communities.

Research Focus

Assist. Prof. Dr. Xiao-Jie Peng’s research is deeply rooted in the field of control theory and intelligent systems, with a particular emphasis on multi-agent systems, time-delay systems, and formation control. His work explores critical challenges in consensus control, robust stability, and optimization for complex dynamic systems, often involving nonlinearities, delays, and uncertainties. A prominent theme in his research is the development of advanced control strategies such as aperiodic sampled-data control, event-triggered fault-tolerant control, and order-reduction methods for improving system performance and resilience. Dr. Peng also integrates modern computational techniques like game-theoretical Q-learning into the domain of cyber-physical systems and distributed cooperative learning. His research contributions serve vital applications in areas such as robotics, neural networks, networked systems, and autonomous agents, making his work highly relevant to both theoretical advancements and real-world engineering problems in automation and intelligent control domains.

Publication Top Notes

📘 Consensus control and optimization of time-delayed multiagent systems: Analysis on different order-reduction methods – Cited by 39, 2024 📊🧠
📗 Time-Varying Formation Tracking Control and Optimization for Delayed Multi-Agent Systems With Exogenous Disturbances – Cited by 37, 2024 🤖🔁
📙 Consensus of multiagent systems with time-varying delays and switching topologies based on delay-product-type functionals – Cited by 26, 2022 ⌛🔗
📕 Time-varying formation tracking control of multi-leader multiagent systems with sampled-data – Cited by 20, 2023 📡👥
📘 Consensus of multi-agent systems with state and input delays via non-fragile protocol – Cited by 14, 2022 🧩⏱️
📗 Global exponential stability analysis of neural networks with a time-varying delay via some state-dependent zero equations – Cited by 13, 2020 🧠📈
📙 Bipartite consensus tracking control for periodically-varying-delayed multi-agent systems with uncertain switching topologies – Cited by 9, 2023 🔁🔒
📕 Aperiodic sampled‐data consensus control for homogeneous and heterogeneous multi‐agent systems: A looped‐functional method – Cited by 7, 2023 ⏲️⚙️
📘 Robust Time-Varying Formation Control of One-Sided Lipschitz Nonlinear Multiagent System With Delays via Optimization Algorithm – Cited by 3, 2025 📉🤖
📗 Optimal Tracking Control for Cyber-Physical Systems Under Mixed Attacks via Game-Theoretical Q-Learning – Cited by 2, 2025 🔐🎮
📙 Event-triggered adaptive fault-tolerant control for nonlinear multiagent systems with intermittent actuator faults – 2025 🛠️⚡
📕 Containment Control for Multi-Agent Systems under Directed Interaction Topologies with Time-Varying Delays – 2022 🔄🧭

Hongchenyu Yang | Control science | Best Researcher Award

Published on by Academic Awards

Ms. Hongchenyu Yang | Control science | Best Researcher Award

Hongchenyu Yang  at Shanghai University

Short Bio:

Hongchenyu Yang is a PhD candidate at Shanghai University, specializing in Control Science and Engineering. With a strong academic background and a passion for cutting-edge research, he has made notable contributions to the fields of networked control systems and multi-agent systems. His research focuses on enhancing control theories and communication protocols, with a keen interest in tackling security challenges and improving system stability under time-delay and bandwidth constraints. Through his academic excellence and leadership, Hongchenyu has received several prestigious scholarships, grants, and honors.

Profile:

Educational Background:

Hongchenyu Yang is currently pursuing a PhD in Engineering at Shanghai University, with a major in Control Science and Engineering (Sept. 2020 – Jun. 2025). He has been involved in an exchange program at the National University of Singapore (Dec. 2022 – Jan. 2024). Before his PhD, he completed his Bachelor’s in Engineering from Shanghai University, specializing in Automation (Sept. 2016 – Jun. 2020), and participated in an exchange program at Queen’s University of Belfast (July – Aug. 2018).

Professional Experience:

Hongchenyu Yang is a dedicated PhD student at the School of Mechatronic Engineering and Automation, Shanghai University. His academic journey includes extensive research in networked control systems and multi-agent systems, with an emphasis on addressing challenges in communication protocols, security control, and system performance in complex environments. As a member of several professional organizations such as the Chinese Association of Automation and the China Simulation Federation, Hongchenyu actively engages in advancing the field of automation and control systems. He has contributed significantly to the research community as an active reviewer for leading international journals.

Research Interests:

Hongchenyu Yang’s research interests focus on Networked Control and Multi-Agent Systems, Semantic Communication, Control Theory, Sampled-Data Control, Security Control, Communication Protocols, Time-Delay Systems, and Event-Triggered Communication. His future research plans include Data-Driven Control, Robot-Human Interaction, Semantic Segmentation, Multi-Modal Perception and Communication, and Situation Awareness.

Author Metrics

Hongchenyu Yang has published several influential papers in high-impact journals. His key works include:

  1. Yang, H., Peng, C., Cao, Z., & Zhang, X.-M. (2025). “A novel semantic-based multi-packet parallel transmission scheme for networked control systems,” Automatica, 174, 112120.
  2. Yang, H., Peng, C., & Cao, Z. (2023). “Attack-model-independent stabilization of networked control systems under a jump-like TOD scheduling protocol,” Automatica, 152, 110982.
  3. Yang, H., Peng, C., & Cao, Z. (2023). “A novel memory-based scheduling protocol for networked control systems under stochastic attacks and bandwidth constraint,” IEEE/CAA Journal of Automatica Sinica, 10(5), 1336-1339.
  4. Wu, J., Peng, C., Yang, H., & Wang, Y.-L. (2022). “Recent advances in event-triggered security control of networked systems: A survey,” International Journal of Systems Science, 53(12), 2624-2643.
  5. Yang, H., Yang, T.-C., Peng, C., Tian, E., & Song, Y. (2024). “Matrix full rank, controllability and observability: Revisit basic concepts,” In 2024 43rd Chinese Control Conference (CCC).

Grants, Scholarships, and Honors:

Hongchenyu Yang has been awarded numerous scholarships and grants recognizing his academic excellence, including:

  • Grant for Joint PhD Programme, China Scholarship Council (2023)
  • Grant for Excellent Doctoral Dissertation Cultivation Programme, Shanghai University (Top 6)
  • National Scholarship, China (Top 3)
  • First Class Academic Scholarship, Shanghai University (Top 4)
  • Overseas Study Scholarship, Shanghai University
  • Leadership Scholarship, Shanghai University
  • Outstanding Graduate, Shanghai University (Top 9)
  • Outstanding Student, Shanghai University

Publication Top Noted:

  • Conference Paper
    Title: Matrix full rank, Controllability and Observability: Revisit Basic Concepts
    Authors: Yang, H., Yang, T.-C., Peng, C., Tian, E., Song, Y.
    Conference: Chinese Control Conference (CCC), 2024, pp. 1–4
    Citations: 0
  • Article
    Title: Attack-model-independent stabilization of networked control systems under a jump-like TOD scheduling protocol
    Authors: Yang, H., Peng, C., Cao, Z.
    Journal: Automatica, 2023, 152, 110982
    Citations: 26
  • Letter (Open Access)
    Title: A Novel Memory-Based Scheduling Protocol for Networked Control Systems Under Stochastic Attacks and Bandwidth Constraint
    Authors: Yang, H., Peng, C., Cao, Z.
    Journal: IEEE/CAA Journal of Automatica Sinica, 2023, 10(5), pp. 1336–1339
    Citations: 0
  • Article
    Title: Networked scheduling for decentralized load frequency control
    Authors: Peng, C., Yang, H.
    Journal: Intelligence and Robotics, 2022, 2(3), pp. 298–312
    Citations: 0
  • Review
    Title: Recent advances in event-triggered security control of networked systems: a survey
    Authors: Wu, J., Peng, C., Yang, H., Wang, Y.-L.
    Journal: International Journal of Systems Science, 2022, 53(12), pp. 2624–2643
    Citations: 46

Conclusion:

Hongchenyu Yang is a promising and highly skilled researcher in the field of control science. His academic achievements, innovative contributions to networked control systems, and active involvement in professional communities make him a deserving candidate for the Best Researcher Award. His research has the potential to shape the future of control systems, particularly in the areas of security and communication protocols, which are vital for modern technologies. With continued focus on enhancing the citation impact and broadening interdisciplinary collaborations, Yang is poised for even greater success in his academic and professional career.