Ian R. Petersen
Papers
9
Total Citations
344
H-Index
6
About
Ian R. Petersen is a prominent control systems researcher whose work spans robust control theory, multi-agent systems, and autonomous robotics. He is perhaps best known for his foundational contributions to **negative imaginary (NI) systems theory**, a powerful framework for the robust control of highly resonant flexible structures. His 2014 paper generalizing NI systems to include free body dynamics — now with 166 citations — extended the applicability of this theory to a broader class of physically meaningful systems, including those with colocated force actuators and free body motion. Building on this theoretical foundation, Petersen has made significant strides in applying NI systems theory to real-world multi-robot and multi-UAV coordination problems. His work on switching formation control, distributed fuzzy self-tuning consensus controllers, and collision avoidance in uncertain environments demonstrates a consistent effort to bridge rigorous mathematical control theory with practical autonomous systems challenges. His research on heterogeneous UAV-UGV cooperative control and cooperative extremum seeking further reflects his interest in scalable, distributed intelligence for robotic teams. With contributions spanning localization algorithms using Extended Kalman Filters to time-varying formation strategies, Petersen's body of work represents a cohesive and impactful research program at the intersection of control theory and autonomous robotics.
Research Focus
Key Achievements
Top Papers
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