Studying the Use of ANN to Estimate State-Space Variables for MIMO Systems in a NMPC Strategy-Reference-Cited by-同舟云学术

Studying the Use of ANN to Estimate State-Space Variables for MIMO Systems in a NMPC Strategy

Published:2022-10-12 Issue: Volume: Page:464-473
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Alonso Aimar,Zabaljauregi Asier,Larrea Mikel,Irigoyen Eloy,Sanchís Javier

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18050-7_45

Reference16 articles.

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2. Carrillo-Ahumada, J., Reynoso-Meza, G., García-Nieto, S., Sanchis, J., García-Alvarado, M.A.: Tuning of pareto-optimal robust controllers for multivariable systems. Application on helicopter of two-degress-of-freedom. RIAI J. 12, 177–188 (2015). https://doi.org/10.1016/j.riai.2015.03.002

3. Dendaluce, M., Valera, J.J., Gómez, V., Irigoyen, E., Larzabal, E.: Microcontroller implementation of a multi objective genetic algorithm for real-time intelligent control. In: Herrero, Á., et al. (eds.) SOCO 2013, vol. 239, pp. 71–80. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-01854-6_8

4. Feedback Instruments, Ltd.: Twin Rotor MIMO System Control Experiments 33–949S. Feedback (2001). https://www.feedback-shop.co.uk/twin-rotor-mimo-system-33-007i.html

5. García, J.J.V., Garay, V.G., Gordo, E.I., Fano, F.A., Sukia, M.L.: Intelligent multi-objective nonlinear model predictive control (iMO-NMPC): towards the ‘on-line’ optimization of highly complex control problems 39, 6527–6540 (2012). https://doi.org/10.1016/j.eswa.2011.12.052

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