State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems-Reference-Cited by-同舟云学术

State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems

Published:2022 Issue: Volume:6 Page:2258-2263
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Carnerero A. Daniel¹^ORCID,Ramirez Daniel R.¹^ORCID,Alamo Teodoro¹^ORCID

Affiliation:

1. Departamento de Ingeniería de Sistemas y Automática, Escuela Superior de Ingenieros, Camino de los Descubrimientos s/n, Universidad de Sevilla, Sevilla, Spain

Funder

Agencia Estatal de Investigación (AEI)-Spain

Junta de Andalucía and FEDER funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7782633/9462165/09669180.pdf?arnumber=9669180

Reference35 articles.

1. A New Approach to Linear Filtering and Prediction Problems

2. Offset free data driven control: application to a process control trainer

3. Design of nonlinear MPC by Kriging-based optimization

4. An exploratory study of discrete time state-space models using kriging

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