Papers

4

Total Citations

696

H-Index

3

About

Dr. Xian-Ming Zhang is a leading figure in the control theory of multi-agent systems (MAS) and robotic manipulation. His foundational work addresses the critical challenge of coordinating multiple agents under real-world constraints, such as aperiodic sampling and communication delays. His highly influential 2017 survey on distributed sampled-data cooperative control, with 383 citations, provides a comprehensive roadmap for the field. In a companion paper (306 citations), he pioneered a solution for achieving cluster formation in MAS, enabling distinct groups of agents to perform separate tasks simultaneously despite network imperfections. More recently, Dr. Zhang has advanced the practical application of these theories to robotics, tackling the complex problem of robust trajectory tracking for robotic manipulators. His 2025 work introduces a novel robust adaptive nonlinear admittance controller that achieves rapid finite-time convergence while mitigating the issues of excessive initial torque and control reversal. With a career spanning foundational theory to applied robotics, Dr. Zhang’s research is essential for engineers designing resilient, high-performance autonomous systems in manufacturing, exploration, and beyond.

Research Focus

Key Achievements

3
H-Index
4
Papers
696
Total Citations
174
Avg Citations/Paper
🏆 Most Cited Paper
A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems
383 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Swinburne University of Technology, Guangdong University of Technology, South China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago