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Bruno Depraetere
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2020 – today
- 2024
- [c16]Boulaid Boulkroune, Xavier Jordens, Branimir Mrak, Joachim Verhelst, Bruno Depraetere, Joram Meskens, Pieter Bovijn:
Enhancing PI Tuning in Plant Commissioning through Bayesian Optimization. ECC 2024: 3220-3225 - 2023
- [c15]Edward Kikken, Jeroen Willems, Bruno Depraetere:
Optimal Motion Control using Neural Networks Applied to a Slider-Crank Mechanism. CCTA 2023: 1146-1152 - [c14]Taranjitsingh Singh
, Jeroen Willems, Bruno Depraetere, Glenn Emmers, Thomas Vandenhove, Jeroen Stuyts:
Optimal and Charge-Sustainable Energy Management Systems for Industrial DC Grids. CoDIT 2023: 2020-2026 - [c13]Rian Beck, Sudarsan Kumar Venkatesan, Joram Meskens, Jeroen Willems, Edward Kikken, Bruno Depraetere:
A Clustering-Based Approach for Adaptive Control Applied to a Hybrid Electric Vehicle. ICINCO (1) 2023: 162-171 - [c12]Catalin-Stefan Teodorescu
, Steve Vandenplas
, Bruno Depraetere
:
Towards Wait-and-Catch Routine of a Dynamic Swinging Object Using a Prototype Robotic Arm Manipulator. TAROS 2023: 202-213 - [i1]Hélène Plisnier, Denis Steckelmacher, Jeroen Willems
, Bruno Depraetere, Ann Nowé:
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. CoRR abs/2301.12820 (2023) - 2022
- [c11]Jeroen Willems
, Kerem Eryilmaz, Denis Steckelmacher, Bruno Depraetere, Rian Beck, Abdellatif Bey-Temsamani, Jan Helsen, Ann Nowé:
Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. CCTA 2022: 1214-1221 - [c10]Jeroen Willems
, Bruno Depraetere, Sorin Bengea:
A General Multi-System Learning Control Framework and its Application to Non-Synchronized Experiments. CCTA 2022: 1433-1439
2010 – 2019
- 2019
- [c9]Jeroen Willems
, Erik Hostens, Bruno Depraetere
, Daniele Ronzani
, Armin Steinhauser, Jan Swevers:
An Input- Mapping Initialization Approach to Accelerate Iterative Learning of Similar Tasks. ICM 2019: 485-490 - 2018
- [c8]Jeroen Willems
, Erik Hostens, Bruno Depraetere
, Armin Steinhauser, Jan Swevers:
Learning Control in Practice: Novel Paradigms for Industrial Applications. CCTA 2018: 1270-1276 - 2016
- [c7]Catalin-Stefan Teodorescu, Steve Vandenplas, Bruno Depraetere, Jan Anthonis, Armin Steinhauser, Jan Swevers:
A fast pick-and-place prototype robot: design and control. CCA 2016: 1414-1420 - 2015
- [c6]Kevin Van Vaerenbergh, Yann-Michaël De Hauwere, Bruno Depraetere
, Kristof Van Moffaert, Ann Nowé:
A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating. SSCI 2015: 556-563 - 2013
- [c5]M. Liu, Bruno Depraetere
, Gregory Pinte, Ivo Grondman, Robert Babuska:
Model-free and model-based time-optimal control of a badminton robot. ASCC 2013: 1-6 - 2011
- [c4]Bruno Depraetere
, Gregory Pinte, Jan Swevers:
A reference free iterative learning strategy for wet clutch control. ACC 2011: 2442-2447 - [c3]Bruno Depraetere
, Gregory Pinte, Jan Swevers:
Identification of linear systems using output measurements with only two possible values. CDC/ECC 2011: 1473-1478 - 2010
- [c2]Bruno Depraetere
, Gregory Pinte, Lieboud Van den Broeck, Jan Swevers:
A two-level optimization based learning control strategy for wet clutches. ALCOSP 2010: 54-59 - [c1]Bruno Depraetere
, Gregory Pinte, Jan Swevers:
Iterative optimization of the filling phase of wet clutches. AMC 2010: 94-99
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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