Maxime Thieffry

Orcid: 0000-0002-6192-8561

According to our database1, Maxime Thieffry authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Identification For Control Based on Neural Networks: Approximately Linearizable Models.
CoRR, 2024

Control Oriented Neural Network Model Learning : ℒ2-Disturbance Attenuation via an Approximate Input-Output Linearizable Model.
Proceedings of the 28th International Conference on System Theory, Control and Computing, 2024

Model Predictive Control of Cable-Driven Parallel Robot with Cable Sagging: an Assumed Mode Approach.
Proceedings of the 28th International Conference on System Theory, Control and Computing, 2024

Implementation and Validation of Simultaneous State and Parameter Moving Horizon Estimation of a Pressurized Water Reactor.
Proceedings of the European Control Conference, 2024

2023
Moving horizon estimation of xenon in pressurized water nuclear reactors using variable-step integration.
Proceedings of the European Control Conference, 2023

2022
Control-Oriented Neural State-Space Models for State-Feedback Linearization and Pole Placement.
Proceedings of the 10th International Conference on Systems and Control, 2022

2021
Trajectory Tracking Control Design for Large-Scale Linear Dynamical Systems With Applications to Soft Robotics.
IEEE Trans. Control. Syst. Technol., 2021

2019
Control Design for Soft Robots Based on Reduced-Order Model.
IEEE Robotics Autom. Lett., 2019

Dynamically Closed-Loop Controlled Soft Robotic Arm using a Reduced Order Finite Element Model with State Observer.
Proceedings of the IEEE International Conference on Soft Robotics, 2019

Controllability pre-verification of silicone soft robots based on finite-element method.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Reduced Order Control of Soft Robots with Guaranteed Stability.
Proceedings of the 16th European Control Conference, 2018

2017
Software toolkit for modeling, simulation, and control of soft robots.
Adv. Robotics, 2017


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