Papers
5
Total Citations
34
H-Index
4
About
Dr. Qiang Pan is a leading researcher in the decentralized optimal control of modular robot manipulators (MRMs), with a particular focus on event-triggered mechanisms and fault-tolerant strategies. His work addresses critical challenges in robotic autonomy, including real-time decision-making, energy efficiency, and system resilience. Among his most cited contributions, Dr. Pan developed an event-triggered approximate optimal control framework using zero-sum game theory, which significantly reduces computational load while maintaining robust performance. He also introduced an observer-critic-based event-triggered decentralized control method that enhances tracking accuracy in complex robotic systems. His 2023 paper on health indicator-based decentralized optimal fault-tolerant control, featuring an adjustable event-triggered mechanism, has garnered 7 citations and demonstrates his commitment to practical, experimental validation. With over 30 citations across his top five papers, Dr. Pan’s work is highly regarded for bridging theoretical optimal control with real-world robotic applications. His early research on search and rescue robot team communication via power cable transmission lines also reflects a sustained interest in deploying multi-robot systems in hazardous environments. Dr. Pan’s contributions are essential reading for researchers in robotics, control systems, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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