Guillaume Crevecoeur
Orcid: 0000-0001-7630-8579
According to our database1,
Guillaume Crevecoeur
authored at least 69 papers
between 2008 and 2024.
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Bibliography
2024
Data-Driven Virtual Sensing for Probabilistic Condition Monitoring of Solenoid Valves.
IEEE Trans Autom. Sci. Eng., April, 2024
KeyCLD: Learning constrained Lagrangian dynamics in keypoint coordinates from images.
Neurocomputing, March, 2024
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services.
IEEE Trans. Instrum. Meas., 2024
2023
Anodized Aluminum Foil Winding Axial Flux Machine for Direct-Drive Robotic Applications.
IEEE Trans. Ind. Electron., October, 2023
Pattern Recognit. Lett., May, 2023
Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System.
IEEE Trans. Ind. Informatics, 2023
Proceedings of the 9th International Conference on Control, 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
Multi-Objective Co-Design for Mission-Specific Development of Unmanned Aerial Systems.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
Data-driven Identification of Stochastic System Dynamics under Partial Observability Using Physics-Based Model Priors with Application to Acrobot.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning.
IEEE Trans. Ind. Electron., 2022
Overload Clutch With Integrated Torque Sensing and Decoupling Detection for Collision Tolerant Hybrid High-Speed Industrial Cobots.
IEEE Robotics Autom. Lett., 2022
Design and Control of a Quasi-Direct Drive Robotic Gripper for Collision Tolerant Picking At High Speed.
IEEE Robotics Autom. Lett., 2022
A Soft Barometric Tactile Sensor to Simultaneously Localize Contact and Estimate Normal Force With Validation to Detect Slip in a Robotic Gripper.
IEEE Robotics Autom. Lett., 2022
Robust Stability Analysis of Interval Fractional-Order Plants With Interval Time Delay and General Form of Fractional-Order Controllers.
IEEE Control. Syst. Lett., 2022
CoRR, 2022
Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems.
CoRR, 2022
Comparative Study of Co-Design Strategies for Mission-Specific Design of Quadcopters using Differential Flatness and Bayesian Optimization.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
Efficient ODE Substructure Identification of the Acrobot under Partial Observability using Neural Networks and Direct Multiple Shooting.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
Comparative Study of Sample Based Model Predictive Control With Application to Autonomous Racing.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
Preventing Catastrophic Forgetting using Prior Transfer in Physics Informed Bayesian Neural Networks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
2021
Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations.
IEEE Trans. Ind. Informatics, 2021
Real-Time Energy-Efficient Actuation of Induction Motor Drives Using Approximate Dynamic Programming.
IEEE Trans. Ind. Electron., 2021
IEEE Robotics Autom. Lett., 2021
Scalable Distributed State Estimation for a Class of State-Saturated Systems Subject to Quantization Effects.
IEEE Access, 2021
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Comparison of Collision Detection Techniques for High-Speed Industrial Robot Actuators with Overload Clutch.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
2020
Entropy, 2020
Evolutionary-Based Sparse Regression for the Experimental Identification of Duffing Oscillator.
CoRR, 2020
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Fast performance assessment of mechatronic designs integrating CAD and dynamical models with application on servo actuated designs.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
Impossibility of BIBO-Type String Stability with Homogeneous Controllers and Constant Spacing Policy.
Proceedings of the Australian and New Zealand Control Conference, 2020
Drivetrain System Identification in a Multi-Task Learning Strategy using Partial Asynchronous Elastic Averaging Stochastic Gradient Descent.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020
Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020
2019
An Inverse Thermal Modeling Approach for Thermal Parameter and Loss Identification in an Axial Flux Permanent Magnet Machine.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Control. Syst. Technol., 2019
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism.
CoRR, 2019
Series and Parallel Capacitor Compensation of the Transmitter in a Magnetic Resonance Based Motoring System.
Proceedings of the IECON 2019, 2019
Proceedings of the IECON 2019, 2019
Data-driven discovery of the heat equation in an induction machine via sparse regression.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Inverse Stochastic Quadcopter Trajectory Generation using Flat Inverse Dynamics and Polynomial Chaos Uncertainty Propagation.
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
Integrated Offline Reinforcement Learning for Optimal Power Flow Management in an Electric Dual-Drive Vehicle.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
Hybrid derivative functions for identification of unknown loads and physical parameters with application on slider-crank mechanism.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions.
CoRR, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Data-Driven Optimal Power Flow Management in an Electric Dual-Drive Topology for Vehicle Electrification.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018
2017
Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles.
IEEE Trans. Veh. Technol., 2017
Thermal parameter identification of an electrical machine using inverse modelling and non-collocated thermal sensors.
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017
Polynomial chaos explicit solution of the optimal control problem in Model Predictive Control.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
Adaptive state space representations enabling reliable and robust decision-making in asynchronous drives for mechatronic applications.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2015
Robustness Assessment of 1-D Electron Paramagnetic Resonance for Improved Magnetic Nanoparticle Reconstructions.
IEEE Trans. Biomed. Eng., 2015
On cost function transformations for the reduction of uncertain model parameters' impact towards the optimal solutions.
J. Comput. Appl. Math., 2015
2013
Bayesian inference in the uncertain EEG problem including local information and a sensor correlation matrix.
J. Comput. Appl. Math., 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Subspace electrode selection methodology for EEG multiple source localization error reduction due to uncertain conductivity values.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Magnetic nanoparticle imaging by random and maximum length sequences of inhomogeneous activation fields.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
A Simple Magnetostatic Sensing Method for Assessing the Local Hysteresis Properties in Ferromagnetic Sheet Materials.
J. Sensors, 2012
Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor.
Eng. Comput., 2012
2011
Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem.
IEEE Trans. Biomed. Eng., 2011
An Efficient 3-D Eddy-Current Solver Using an Independent Impedance Method for Transcranial Magnetic Stimulation.
IEEE Trans. Biomed. Eng., 2011
2008
A hybrid algorithm for solving the EEG inverse problem from spatio-temporal EEG data.
Medical Biol. Eng. Comput., 2008