31 citations · 32 across the 6 of their papers we have counts for
11 papers
Evolutionary sparse data-driven discovery of complex multibody system dynamics
Ehsan Askari, Guillaume Crevecoeur
The value of unknown parameters of multibody systems is crucial for prediction, monitoring, and control, sometimes estimated using a biased physics-based model leading to incorrect…
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems
Manu Lahariya, Farzaneh Karami, Chris Develder +1
In energy intensive industrial systems, an evaporative cooling process may introduce operational flexibility. Such flexibility refers to a systems ability to deviate from its sched…
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation
Tom Lefebvre, Guillaume Crevecoeur
Sample-based trajectory optimisers are a promising tool for the control of robotics with non-differentiable dynamics and cost functions. Contemporary approaches derive from a restr…
Adaptive control of a mechatronic system using constrained residual reinforcement learning
Tom Staessens, Tom Lefebvre, Guillaume Crevecoeur
We propose a simple, practical and intuitive approach to improve the performance of a conventional controller in uncertain environments using deep reinforcement learning while main…
Risk Sensitive Path Integral Control for Infinite Horizon Problem Formulations
Tom Lefebvre, Guillaume Crevecoeur
Path Integral Control methods were developed for stochastic optimal control covering a wide class of finite horizon formulations with control affine nonlinear dynamics. Characteris…
On Entropy Regularized Path Integral Control for Trajectory Optimization
Tom Lefebvre, Guillaume Crevecoeur
In this article we present a generalised view on Path Integral Control (PIC) methods. PIC refers to a particular class of policy search methods that are closely tied to the setting…