Papers

7

Total Citations

69

H-Index

6

About

Guangcheng Ma is a researcher whose work spans two principal domains: intelligent control of space robotic systems and coordinated control of multi-agent systems and spacecraft formations. Over the course of his career, Ma has made notable contributions to the field of space robotics, pioneering robust control methodologies that address the unique challenges posed by free-floating space manipulators. His early work, including a 2005 paper on fuzzy neural network (FNN) control (15 citations), demonstrated that high-precision tracking could be achieved without requiring the linear parameterization demanded by conventional adaptive controllers — a significant advancement for practical space applications. Subsequent publications refined these ideas through radial-basis-function neural networks and chattering-free sliding mode strategies, collectively accumulating dozens of citations. Ma also contributed to experimental validation, proposing a ground semi-physical simulator for testing satellite rendezvous, docking, and space robot capture scenarios. More recently, his research has shifted toward multi-agent and spacecraft formation systems, with 2024 publications on fixed-time coordinated control incorporating event-triggered and delayed communication protocols garnering early citation traction. Across his body of work, Ma consistently addresses real-world constraints — uncertainty, disturbances, and communication limitations — making his research practically relevant for next-generation autonomous space systems.

Research Focus

Key Achievements

6
H-Index
7
Papers
69
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Output-constrained fixed-time coordinated control for multi-agent systems with event-triggered and delayed communication
15 citations · 2024
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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