Search Results for author: Michel Fliess

Found 11 papers, 0 papers with code

Toward simple "in silico" experiments for drugs administration in some cancer treatments

no code implementations27 Jul 2021 Michel Fliess, Cédric Join, Kaouther Moussa, Seddik M. Djouadi, Mohamed W. Alsager

We present some "in silico" experiments to design combined chemo- and immunotherapy treatment schedules.

An alternative to proportional-integral and proportional-integral-derivative regulators: Intelligent proportional-derivative regulators

no code implementations23 Jun 2021 Michel Fliess, Cédric Join

This paper suggests to replace PIs and PIDs, which play a key role in control engineering, by intelligent Proportional-Derivative feedback loops, or iPDs, which are derived from model-free control.

Machine learning and control engineering: The model-free case

no code implementations10 Jun 2020 Michel Fliess, Cédric Join

This paper states that Model-Free Control (MFC), which must not be confused with Model-Free Reinforcement Learning, is a new tool for Machine Learning (ML).

La production de nitrites lors de la dénitrification des eaux usées par biofiltration - Stratégie de contrôle et de réduction des concentrations résiduelles

no code implementations28 Nov 2017 Vincent Rocher, Cédric Join, Stéphane Mottelet, Jean Bernier, Sabrina Rechdaoui-Guérin, Sam Azimi, Paul Lessard, André Pauss, Michel Fliess

Research studies have been led in the MOCOPEE program (www. mocopee. com) to better understand the underlying mechanisms behind the production of nitrite during wastewater denitrification and to develop technical tools (measurement and control solutions) to assist on-site reductions of nitrite productions.

Un résultat intrigant en commande sans modèle

no code implementations8 Nov 2017 Cédric Join, Emmanuel Delaleau, Michel Fliess, Claude H. Moog

An elementary mathematical example proves, thanks to the Routh-Hurwitz criterion, a result that is intriguing with respect to today's practical understanding of model-free control, i. e., an "intelligent" proportional controller (iP) may turn to be more difficult to tune than an intelligent proportional-derivative one (iPD).

Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations

no code implementations12 Aug 2017 Hassane Abouaïssa, Ola Alhaj Hasan, Cédric Join, Michel Fliess, Didier Defer

The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now.

Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach

no code implementations5 Apr 2017 Philip Polack, Brigitte d'Andréa-Novel, Michel Fliess, Arnaud de La Fortelle, Lghani Menhour

This communication presents a longitudinal model-free control approach for computing the wheel torque command to be applied on a vehicle.

Autonomous Vehicles

Systematic and multifactor risk models revisited

no code implementations18 Dec 2013 Michel Fliess, Cédric Join

Systematic and multifactor risk models are revisited via methods which were already successfully developed in signal processing and in automatic control.

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