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 🔄🧭