Papers
79
Total Citations
1,444
H-Index
19
About
Gerasimos Rigatos is a prominent researcher specializing in nonlinear control theory, state estimation, robotics, and intelligent industrial systems. His work sits at the intersection of advanced mathematics and practical engineering, developing sophisticated frameworks for controlling and monitoring complex dynamical systems. Rigatos has made foundational contributions to differential flatness theory, demonstrating its power in solving challenging nonlinear control problems across electromechanical and multivariable systems, as detailed in his highly influential 2015 monograph with 137 citations. His parallel expertise in filtering and state estimation has been equally impactful — his comparative studies of extended Kalman and particle filtering methods for robotics and industrial applications have garnered nearly 180 citations combined, establishing benchmark approaches for practitioners in the field. His research portfolio spans flexible-link robots, autonomous navigation using H-infinity control frameworks, multi-DOF manipulators, and spatio-temporal dynamical systems, reflecting remarkable breadth. His 2011 monograph on adaptive algorithms in robotics and industrial engineering further solidified his reputation, accumulating 128 citations. With over 800 total citations across his most recognized works alone, Rigatos has meaningfully shaped how engineers approach the dual challenges of controlling and estimating the behavior of highly nonlinear industrial and robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Robotic Manipulators and Vehicles90 citations · 2018
- 5Particle Filtering for State Estimation in Nonlinear Industrial Systems87 citations · 2009
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- 10A nonlinear H-infinity control method for multi-DOF robotic manipulators47 citations · 2016