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TL;DR: This communication suggests an explanation via “model-free control” and the corresponding “intelligent” controllers, which are already successfully applied in many concrete situations and provide a slightly different presentation of homeostasis, or “exact adaptation,” where the working conditions are assumed to be “mild.”

TL;DR: In this article , a control strategy framed in the Model-Free Control paradigm is presented to control the lateral vehicle dynamics in a decoupled control architecture, which is designed to guide the vehicle through trajectories with diverse dynamic constraints and over a wide speed range.

TL;DR: In this paper, several different time series approaches are employed to forecast solar irradiance and irradiation short-term forecasts for electricity production, and the results and corresponding numerical simulations show that techniques which do not need a large amount of historical data behave better than those which need them, especially when those data are quite noisy.

TL;DR: In this paper, the authors adopt the classic epidemic SIR model, where the infection rate is the control variable and its differential flatness property yields elementary closed-form formulae for openloop social distancing scenarios, where, for instance, the increase of the number of uninfected people may be taken into account.

TL;DR: In this paper, a procedure for regulation of a trafic on an axe is presented, in which an action-neur controls l'acces de vehicules a l'axe.