Corpus ID: 218571346

On the use of Data-Driven Cost Function Identification in Parametrized NMPC

@article{Alamir2020OnTU,
  title={On the use of Data-Driven Cost Function Identification in Parametrized NMPC},
  author={M. Alamir},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04076}
}
  • M. Alamir
  • Published 2020
  • Computer Science, Engineering, Mathematics
  • ArXiv
In this paper, a framework with complete numerical investigation is proposed regarding the feasibility of constrained Nonlinear Model Predictive Control (NMPC) design using Data-Driven model of the cost function. Although the idea is very much in the air, this paper proposes a complete implementation using python modules that are made freely available on a GitHub repository. Moreover, a discussion regarding the different ways of deriving control via data-driven modeling is proposed that can be… Expand

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