Papers
7
Total Citations
49
H-Index
4
About
Lijun Long is a leading researcher in the control of complex nonlinear systems, with a primary focus on switched and uncertain dynamics. His work is distinguished by pioneering the integration of adaptive neural networks with event-triggered communication protocols, addressing critical challenges in networked control under cyber-attacks. Long’s highly cited 2024 and 2025 papers propose novel switching event-triggered schemes that maintain stability and performance even under hybrid deception and denial-of-service attacks, a vital contribution for secure autonomous systems. He has also made foundational contributions to safety-critical control, introducing robust adaptive control barrier functions to ensure safe operation of nonlinear systems with parametric uncertainties, with direct applications to differential robots. His research on full state constraints and multiple tasks control under signal temporal logic further demonstrates his breadth, enabling complex, real-world robotic missions. With several papers accumulating over 10 citations each in top venues, Long’s work is shaping the next generation of resilient, intelligent, and safe autonomous systems.
Research Focus
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