Alexander Lanzon
Papers
14
Total Citations
787
H-Index
8
About
Alexander Lanzon is a prominent control systems engineer whose research spans robust control theory, multi-agent systems, and autonomous robotics. His work is perhaps best known for advancing **negative imaginary (NI) systems theory**, a mathematical framework crucial for the robust control of highly resonant flexible structures — a contribution that has garnered over 160 citations and been extended to encompass free body dynamics, significantly broadening its practical applicability. Lanzon has made substantial contributions to cooperative control of multi-robot and multi-vehicle systems. His 2020 work on adaptive leader-following control for heterogeneous connected vehicle platoons (213 citations) addresses real-world challenges in traffic safety and congestion, while his decentralized cluster formation framework for multirobot systems (153 citations) demonstrates his influence in autonomous coordination algorithms. His innovative tri-rotor drone platform and associated swarm control strategies further highlight his talent for bridging theory with novel hardware design. Spanning over two decades — from early sliding-mode robotic manipulator control to cutting-edge quadcopter formation tracking — Lanzon's research consistently pushes the boundaries of autonomous systems and robust control. With hundreds of citations across foundational and applied works, his scholarship serves as essential reading for engineers and researchers working in robotics, control theory, and intelligent transportation.
Research Focus
Key Achievements
Top Papers
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- 3A Decentralized Cluster Formation Containment Framework for Multirobot Systems153 citations · 2021
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