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Cédric Join
Researcher at University of Lorraine
Publications - 185
Citations - 5373
Cédric Join is an academic researcher from University of Lorraine. The author has contributed to research in topics: Nonlinear system & Fault detection and isolation. The author has an hindex of 32, co-authored 178 publications receiving 4562 citations. Previous affiliations of Cédric Join include Nancy-Université & Concordia University Wisconsin.
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Model-free control
Michel Fliess,Cédric Join +1 more
TL;DR: Model-free control and the corresponding ‘intelligent’ PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account.
Journal ArticleDOI
Numerical differentiation with annihilators in noisy environment
TL;DR: It is shown that the introduction of delayed estimates affords significant improvement in numerical differentiation in noisy environment, and that the implementation in terms of a classical finite impulse response (FIR) digital filter is given.
Journal ArticleDOI
Non-linear estimation is easy
TL;DR: Non-linear state estimation and some related topics like parametric estimation, fault diagnosis and perturbation attenuation are tackled here via a new methodology in numerical differentiation within the framework of differential algebra.
Journal ArticleDOI
Model-Free Control and Intelligent PID Controllers: Towards a Possible Trivialization of Nonlinear Control ?
Michel Fliess,Cédric Join +1 more
TL;DR: A model-free control and a control with a restricted model for finite-dimensional complex systems that may be viewed as a contribution to "intelligent" PID controllers, the tuning of which becomes quite straightforward, even with highly nonlinear and/or time-varying systems.
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Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control?
Michel Fliess,Cédric Join +1 more
TL;DR: In this paper, a model-free control and a control with a restricted model for finite-dimensional complex systems are presented, which can be viewed as a contribution to intelligent PID controllers.