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20182023
most citedNeural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism

53 citations · 97 across the 16 of their papers we have counts for

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5 papers · 1 filter

math.OC2023

Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System

Thomas Neve, Tom Lefebvre, Sander De Witte +1

This work discusses the use of model predictive control (MPC) for the manipulation of a pusher-slider system. In particular we leverage the differential flatness of the pusher-slid…

math.OC2021

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…

math.OC2020★ 8 cited

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…

math.OC2018

Polynomial Chaos reformulation in Nonlinear Stochastic Optimal Control with application on a drivetrain subject to bifurcation phenomena

Tom Lefebvre, Frederik De Belie, Guillaume Crevecoeur

This paper discusses a method enabling optimal control of nonlinear systems that are subject to parametric uncertainty. A stochastic optimal tracking problem is formulated that can…

math.OC2018

A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions

Tom Lefebvre, Frederik De Belie, Guillaume Crevecoeur

We present a novel derivative-free interpolation based optimization algorithm. A trust-region method is used where a surrogate model is realized via an interpolation framework. The…