Andreas Rauh
Papers
4
Total Citations
21
H-Index
4
About
Andreas Rauh is a leading researcher in robust state estimation and nonlinear dynamics, with a focus on developing verifiable methods for safety-critical autonomous systems. His work bridges ellipsoidal calculus, interval analysis, and stochastic estimation to guarantee stability and performance under uncertainty. Rauh introduced stability contractors—a novel tool based on interval analysis that verifies provable asymptotic stability domains for discrete-time nonlinear systems, ensuring that state enclosures remain within safe bounds. He also pioneered robust iterative learning observers, combining stochastic estimation with ellipsoidal techniques to improve state estimation in repetitive processes, a dual to iterative learning control. His experimental validation of ellipsoidal methods for vessel localization in marine applications—using uncertain GPS data—demonstrates real-world impact, with worst-case uncertainty quantification crucial for autonomous docking and navigation. Rauh’s work on contractor programming has proven feasibility for complex space and underwater docking missions, reducing operational risks through rigorous pre-mission simulations. With over 20 citations across his most-cited papers, his contributions are foundational for reliable autonomy in aerospace, marine, and robotics domains, making him a key figure in the advancement of provably safe control and estimation.
Research Focus
Key Achievements
Top Papers
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