Searched for: subject%3A%22Sensor%255C-based%255C+Control%22
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Vahs, Matti (author), Pek, Christian (author), Tumova, Jana (author)
Ensuring safety in real-world robotic systems is often challenging due to unmodeled disturbances and noisy sensors. To account for such stochastic uncertainties, many robotic systems leverage probabilistic state estimators such as Kalman filters to obtain a robot's belief, i.e. a probability distribution over possible states. We propose...
journal article 2023
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Koschorke, J.F.R. (author)
The sensor-based approach of Incremental Backstepping is applied to flight control law design in this research project. It allows the usage of the same control law on different types of aircraft without the need for redesign. Apart from full state availability, the derivation of Incremental Backstepping assumes instantaneous control action. Due...
master thesis 2012