Papers
14
Total Citations
636
H-Index
10
About
Timm Faulwasser is a leading researcher in the fields of nonlinear model predictive control (MPC), path-following control, and optimization-based control systems, with significant contributions spanning both theoretical foundations and real-world robotic applications. His most influential work, "Nonlinear Model Predictive Control for Constrained Output Path Following" (2015, 188 citations), established a rigorous predictive control framework for guiding nonlinear systems along geometric paths under input and state constraints — a problem of critical importance in precision manufacturing, robotics, and autonomous systems. Building on this, Faulwasser demonstrated the practical viability of these methods through their implementation on industrial robots for demanding tasks such as milling and gluing (2017, 149 citations), bridging the gap between control theory and engineering practice. His broader contributions include foundational treatments of trajectory tracking versus path following (2012, 2018) and embedded MPC implementation strategies for resource-constrained platforms. More recently, Faulwasser has expanded into distributed and decentralized optimization, developing the open-source ALADIN toolbox and exploring cooperative multi-robot MPC. With hundreds of citations across a cohesive and growing body of work, he stands as a formative voice in modern constrained control design.
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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- 6Implementation aspects of model predictive control for embedded systems46 citations · 2012
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