Controle Preditivo Não Linear baseado em Dados: Um debate sobre avanços recentes

Authors

  • Marcelo M. Morato Dept. de Automação e Sistemas (DAS), Univ. Fed. de Santa Catarina, Florianópolis-SC / Univ. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering Univ. Grenoble Alpes), GIPSA-lab, Grenoble
  • Monica S. Felix Univ. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering Univ. Grenoble Alpes), GIPSA-lab, Grenoble
  • Julio E. Normey-Rico Dept. de Automação e Sistemas (DAS), Univ. Fed. de Santa Catarina, Florianópolis-SC

DOI:

https://doi.org/10.20906/SBAI-SBSE-2023/3993

Keywords:

Nonlinear Predictive Control, Linear Parameter Varying Systems, Data-driven

Abstract

In this paper, we revisit recent results on trajectory-based data-driven predictive control schemes. In particular, we debate how qLPV embeddings can be used to extend the available tools from the linear to the nonlinear setting . Accordingly, we analyse a wind turbine application, debating the advantages and limitations of such data-driven approaches.

Published

2023-10-18