Papers
27
Total Citations
779
H-Index
13
About
Rolf Findeisen is a leading researcher in nonlinear control systems, with a particular focus on model predictive control (MPC), path-following control, and state estimation for constrained dynamical systems. His most influential contributions center on developing rigorous theoretical frameworks for nonlinear model predictive path-following control (MPFC), enabling robotic and industrial systems to precisely track geometric paths without predefined timing constraints while respecting input and state limitations. His 2015 paper on constrained output path following has accumulated 188 citations, reflecting its significant influence on both theory and practice, while its 2017 implementation counterpart (149 citations) demonstrated real-time feasibility on industrial robots—bridging the gap between advanced control theory and practical deployment. Findeisen has also made notable contributions to finite-time convergent observers for nonlinear systems and embedded MPC implementations on microcontrollers, broadening the accessibility of advanced control strategies. His work on force feedback integration with predictive path-following further extends these methods to contact-rich manipulation tasks. Across his career, Findeisen has shaped how researchers and engineers approach constrained control in robotics, making him a pivotal figure in modern nonlinear and predictive control research.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear Model Predictive Control for Constrained Output Path Following188 citations · 2015
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- 3Nonlinear Model Predictive Path-Following Control52 citations · 2009
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- 5Finite time convergent observers for nonlinear systems48 citations · 2004
- 6Implementation aspects of model predictive control for embedded systems46 citations · 2012
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- 10Combined Predictive Path Following and Admittance Control25 citations · 2018