5 papers
Critical slowing down for predicting controller induced loss of control in quadrotors
Jasper J. van Beers, Prashant Solanki, Erik-Jan van Kampen +1
We develop a novel forecasting scheme to anticipate controller induced loss of control (LOC) in quadrotors and evaluate it on real LOC flight data from four different quadrotors. F…
Reachability-Preserving Bellman Operator for the Discounted Reach-Cost Value Function: Uniting Hamilton-Jacobi Reachability and Reinforcement Learning
Isabelle El-Hajj, Prashant Solanki, Jasper van Beers +2
Hamilton-Jacobi (HJ) reachability provides rigorous safety and reachability guarantees for continuous-time dynamical systems, but its numerical solution suffers from the curse of d…
Unifying Hamilton-Jacobi Reachability and Reinforcement Learning
Prashant Solanki, Isabelle El-Hajj, Jasper van Beers +2
We unify Hamilton-Jacobi (HJ) reachability and Reinforcement Learning (RL) through a proposed running cost formulation. We prove that the resultant travel-cost value function is th…
Temporally smoothed incremental model-based heuristic dynamic programming for command-filtered cascaded online learning flight control
Yifei Li, Erik-Jan van Kampen
Approximate Dynamic Programming (ADP) enables online adaptation of control laws through adaptive critic methods. However, its application to online learning Angle-of-Attack (AoA) t…
Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
Yifei Li, Erik-Jan van Kampen
The symmetry of dynamical systems can be exploited for state-transition prediction and to facilitate control policy optimization. This paper leverages system symmetry to develop sa…