Model Predictive Control Strategy to Forecast Employability in Earth Sciences

Estelle Courtial (1) , C Garrouste (2)

1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
2 LEO - Laboratoire d'Économie d'Orleans [UMR7322]

Energy prices and environmental policies influence more than ever employment trends across the world. The purpose of this paper is to develop a control strategy to enhance the employability of French graduates in a field that is both a key driver and a significant target of these new trends, namely Earth Sciences. The aim is to provide French universities with a predictive tool to adjust efficiently their skills' supply capacity with the demand forecasts at the European level. This task is treated as a tracking problem from the viewpoint of the control theory. The reference trajectory is obtained via a labour market forecasting model. For the first time, an econometric model and a predictive control strategy are combined. Simulations illustrate the feasibility and potentials of the proposed approach.

Domains: Quantitative Finance [q-fin]

Estelle Courtial, C Garrouste. Model Predictive Control Strategy to Forecast Employability in Earth Sciences. The 19th World Congress of the International Federation of Automatic Control, Aug 2014, Cape Town, South Africa. ⟨insu-01114917⟩