activity
20162026
most citedFramework for state and unknown input estimation of linear time-varying systems

60 citations · 85 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2025

Action-Increment-Constrained Policy Optimization for Smooth Online Adaptive Critic Flight Control with Actuator Rate Constraints and Low Computational Complexity (extended version with Ultimate Uniform Boundedness analysis)

Yifei Li, Erik-Jan van Kampen

Approximate Dynamic Programming (ADP) enables online control-law adaptation through adaptive critic methods. A safety challenge in applying ADP to angle-of-attack (AoA) tracking co…

eess.SY2022★ 22 cited

Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control

Killian Dally, Erik-Jan van Kampen

Fault-tolerant flight control faces challenges, as developing a model-based controller for each unexpected failure is unrealistic, and online learning methods can handle limited sy…

eess.SY2016★ 60 cited

Framework for state and unknown input estimation of linear time-varying systems

Peng Lu, Erik-Jan van Kampen, Cornelis C. de Visser +1

The design of unknown-input decoupled observers and filters requires the assumption of an existence condition in the literature. This paper addresses an unknown input filtering pro…