Michael Malisoff
Papers
12
Total Citations
212
H-Index
8
About
Michael Malisoff is a leading figure in nonlinear control theory, with a focus on stabilizing complex systems under uncertainty and delay. His work bridges rigorous mathematical frameworks and practical robotics applications, particularly in marine environments. A central contribution is his pioneering use of **input-to-state stability (ISS)** to prove predictable safety and tolerance bounds for curve-tracking controllers in robotics, a critical advance validated by over 40 combined citations across his foundational 2011 papers. Malisoff has also made significant strides in **event-triggered control**, developing strategies that reduce communication rates in underwater robots—such as his 2022 work on robotic fish—and in systems with input delays (2021, 34 citations). His adaptive control methods address state constraints and unknown curvature, while his tutorial on stabilizing nonlinear delay systems (2015, 33 citations) serves as a key resource. With over 200 total citations across his top works, Malisoff’s research not only advances theoretical stability analysis but also directly enables more robust, efficient autonomous surveys for oil spill response and other challenging marine missions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stabilization of Nonlinear Delay Systems: A Tutorial on Recent Results33 citations · 2015
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- 5Adaptive control for planar curve tracking under controller uncertainty23 citations · 2013
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- 10Event-Triggered Control of Robotic Fish With Reduced Communication Rate6 citations · 2022