Search Results for author: Mingxuan Che

Found 2 papers, 0 papers with code

Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters

no code implementations18 Apr 2024 Lukas Brunke, SiQi Zhou, Mingxuan Che, Angela P. Schoellig

In particular, we look at the issues caused by discrete-time implementations of the continuous-time CBF-based safety filter, especially for cases where the magnitude of the Lie derivative of the CBF with respect to the control input is zero or close to zero.

Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems

no code implementations15 Dec 2023 Lukas Brunke, SiQi Zhou, Mingxuan Che, Angela P. Schoellig

We demonstrate the efficacy of our proposed approach in simulation and real-world experiments on a quadrotor and show that we can achieve safe closed-loop behavior for a learned system while satisfying state and input constraints.

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