Jiangxi Science and Technology Normal University | China
Author Profile
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Summary
Dr. Xiujuan Zhao, Ph.D., is an accomplished associate professor with a strong background in distributed coordination control of multi-agent systems and swarm intelligence optimization algorithms. Over the past five years, she has actively led or contributed to four National Natural Science Foundation projects and published more than ten SCI-indexed papers, including two in top-tier journals. Her early experience in the China Electronics Technology Group Corporation enhanced her ability to apply theoretical research to practical and high-impact systems, such as national military command platforms. Her research integrates control theory with real-world implementation, including applications in power electronics, system modeling, and intelligent algorithm design.
Early academic pursuits
Dr. Xiujuan Zhao embarked on her academic journey with a strong foundation in control systems and engineering, laying the groundwork for a career marked by depth and precision. Her early interest in systems analysis and control theory was evident in her graduate and Swarm Robotics and Collective Intelligence doctoral research. These formative years shaped her future focus on distributed coordination control and swarm intelligence. Her education emphasized the integration of theory with real-world application, which became a hallmark of her later professional and academic work.
Professional endeavors
Over the past five years, Dr. Zhao has demonstrated consistent leadership and scholarly activity. She has presided over or actively participated in four projects funded by the National Natural Science Foundation of China, reflecting national-level recognition of her expertise. Prior to her academic post, she contributed to high-level national defense systems at the 22nd Research Institute of China Electronics Technology Group Corporation, where she was involved in the design and development of military command and control software—a testament to her technical prowess and her capacity to function in high-stakes environments. This professional background bridges theoretical research with robust engineering applications, Swarm Robotics and Collective Intelligence including areas relevant to power electronics.
Contributions and research focus
Currently an associate professor, Dr. Zhao’s research interests lie at the intersection of distributed coordination control of multi-agent systems and swarm intelligence optimization algorithms. Her work includes in-depth analysis of system dynamic models, protocol design, theoretical validation, and both simulation and physical testing. Through more than 10 SCI-indexed journal publications, Swarm Robotics and Collective Intelligence including two in top-tier journals, she has made measurable contributions to the fields of automation, intelligent control, and decentralized system behavior. Her interdisciplinary approach often integrates power electronics principles to enhance control performance and efficiency.
Impact and influence
Dr. Zhao’s academic output has helped shape modern thinking in cooperative control systems. Her work has been cited in emerging studies across robotics, autonomous systems, and intelligent networks. The fact that she blends both Swarm Robotics and Collective Intelligence theoretical development and physical validation makes her research impactful not just academically but also in industrial and applied science contexts. Her innovations find relevance in areas such as energy-efficient systems, intelligent grids, and power electronics-driven control infrastructure.
Academic cites
With a steadily growing number of citations, Dr. Zhao’s scholarly articles are regularly referenced by peers in multi-agent control systems, optimization theory, and dynamic modeling. Her recognition in academic indexing platforms underscores the Swarm Robotics and Collective Intelligence continued relevance of her work. The citation momentum is reflective of the applied nature of her findings, particularly in networked system coordination and algorithmic efficiency improvements.
Legacy and future contributions
Looking ahead, Dr. Zhao is poised to expand her contributions in scalable, intelligent control frameworks. She is expected to continue bridging foundational theory with cutting-edge technologies, such as AI-driven adaptive control and collaborative robotics. Her ongoing projects likely aim to integrate cyber-physical systems with power electronics-enabled architectures, influencing the next generation of resilient and Swarm Robotics and Collective Intelligence autonomous systems. Dr. Zhao’s blend of academic integrity, national defense experience, and applied innovation marks her as a thought leader with a lasting academic and technological legacy.
Publications
Title: Event-triggered consensus of multi-agent systems with uncertain control gain via distributed fuzzy logic observer
Authors: Konghao Xie, Xiujuan Zhao, Shiming Chen, Zheng Zhang, Yuanshi Zheng
Journal: ISA Transactions
Publication Date: June 2025
Title: Distributed consensus tracking of nonlinear MASs under stochastic switching topologies via aperiodically intermittent control
Authors: Xiujuan Zhao, Shiming Chen, Zheng Zhang, Yuanshi Zheng
Journal: International Journal of Robust and Nonlinear Control
Publication Date: March 10, 2024
Title: Distributed observer-based consensus tracking for nonlinear MASs with nonuniform input delays and disturbances
Authors: Shiming Chen, Xiujuan Zhao, Zheng Zhang, Yuanshi Zheng
Journal: Journal of the Franklin Institute
Publication Date: July 2023
Title: Consensus Tracking for High-Order Uncertain Nonlinear MASs via Adaptive Backstepping Approach
Authors: Xiujuan Zhao, Shiming Chen, Zheng Zhang, Yuanshi Zheng
Journal: IEEE Transactions on Cybernetics
Publication Date: February 2023
Title: Finite-time scaled consensus tracking of a class of high-order nonlinear multi-agent systems with unstable linearization
Authors: Zheng Zhang, Shiming Chen, Xiujuan Zhao
Journal: Journal of the Franklin Institute
Publication Date: February 2023
Conclusion
Dr. Zhao’s career reflects a balance of academic rigor and applied engineering excellence. Her contributions have influenced the domains of intelligent systems, optimization, and power electronics-driven control. As her citation count continues to rise, she stands out as a forward-thinking researcher committed to advancing automation and intelligent control. With her growing body of work and national-level projects, she is well-positioned to make lasting contributions to future technologies, especially those integrating power electronics with next-generation intelligent control systems.