Oct 24 – 25, 2023
Laboratoire de Mathématiques Blaise Pascal
Europe/Paris timezone

Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis

Oct 25, 2023, 3:00 PM
Amphi Hennequin (Laboratoire de Mathématiques Blaise Pascal )

Amphi Hennequin

Laboratoire de Mathématiques Blaise Pascal

3, place Vasarely 63178 Aubière cedex


Nourddine Azzaoui (Laboratoire de Mathématique Blaise Pascal - UCA)


Natural risks are characterized primarily by their uncontrollability, or at least, their difficulty in being controlled. In this instance, the goal is to try to understand the mechanism that causes these hazards as well as the variables that affect the processes' evolutionary behavior. In this talk, we provide a data-driven approach for identifying an evolutionary system's hidden control mechanisms. This approach enables deciphering of the hidden processes that leads to these kinds of hazard circumstances. Model predictive control is extended by using new techniques to determine the best control together with the parameters for evolution in general dynamical systems. This is a major divergence from traditional control approaches, which call for an understanding of the system, the capacity to influence its course, and the controller's approach or parameters.

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