Papers
14
Total Citations
92
H-Index
6
About
Jan Lunze is a control systems researcher whose work spans networked control, multi-agent systems, and autonomous vehicle coordination. His research addresses some of the most pressing challenges in modern control engineering, particularly the design of distributed controllers that guarantee safety and performance in complex, interconnected systems. Lunze's most significant contributions center on collision avoidance and platooning for autonomous vehicles. His 2021 paper on platooning controllers using external positivity (22 citations) provides a generalizable framework for collision-safe adaptive cruise control, advancing beyond model-specific solutions that had limited prior work. Complementing this, his experimental evaluations of cooperative merging and robot-based platooning demonstrate a rigorous commitment to translating theoretical results into practice. Beyond vehicle platoons, Lunze has made notable contributions to multi-agent formation control, developing artificial potential field methods and Delaunay triangulation-based schemes that achieve collision-free swarm coordination. His work on self-organizing networked controllers addresses how communication structures can be intelligently designed to minimize errors while reducing unnecessary information exchange — a critical concern for scalable systems. Earlier work on set-theoretic state observation of uncertain linear systems reflects the breadth of his expertise. With a growing body of experimentally validated research and consistent citation impact across more than a decade, Lunze stands as a thoughtful and rigorous contributor to modern control theory and its real-world applications.
Research Focus
Key Achievements
Top Papers
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- 2A method for designing the communication structure of networked controllers14 citations · 2013
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