Papers
16
Total Citations
441
H-Index
8
About
Tieshan Li is a leading researcher in intelligent control systems, multi-agent coordination, and robotics, with a particular focus on adaptive control, formation control, and safety-critical autonomous systems. His work bridges theoretical advances in nonlinear control with practical applications in robotic manipulators, unmanned vehicles, and networked Lagrangian systems. Li’s highly cited 2012 paper on adaptive fuzzy output feedback control for flexible robot manipulators (175 citations) established foundational methods for handling system uncertainties and actuator dynamics. He has also made significant contributions to the security of multi-agent systems, notably in his 2021 work on attacks against formation control (118 citations), which opened a critical new direction in resilient distributed control. More recently, Li has advanced safety-certified learning control, event-triggered mechanisms, and reinforcement-learning-based optimal formation control, with several 2024–2025 papers already attracting citations. His work on heterogeneous marsupial robotic systems combining unmanned surface and aerial vehicles demonstrates his commitment to real-world multi-robot deployment. With over 400 total citations and a growing portfolio in fixed-time control, impedance control, and cyber-physical security, Li continues to shape the frontiers of autonomous systems and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Attacks on Formation Control for Multiagent Systems118 citations · 2021
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10