Sub‐optimal recursively feasible Linear Parameter‐Varying predictive algorithm for semi‐active suspension control

Marcelo Menezes Morato, Julio Elias Normey‐Rico, Olivier Sename

Open source

DOI: 10.1049/iet-cta.2020.0592
Published: 2020-10-29
Container: IET Control Theory & Applications
Publisher: Institution of Engineering and Technology (IET)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1049/iet-cta.2020.0592,
  title = {Sub‐optimal recursively feasible Linear Parameter‐Varying predictive algorithm for semi‐active suspension control},
  author = {Marcelo Menezes Morato and Julio Elias Normey‐Rico and Olivier Sename},
  year = {2020},
  journal = {IET Control Theory \&amp; Applications},
  doi = {10.1049/iet-cta.2020.0592},
  url = {https://doi.org/10.1049/iet-cta.2020.0592}
}

RIS

TY  - JOUR
TI  - Sub‐optimal recursively feasible Linear Parameter‐Varying predictive algorithm for semi‐active suspension control
AU  - Marcelo Menezes Morato
AU  - Julio Elias Normey‐Rico
AU  - Olivier Sename
PY  - 2020
JO  - IET Control Theory &amp; Applications
DO  - 10.1049/iet-cta.2020.0592
UR  - https://doi.org/10.1049/iet-cta.2020.0592
ER  -

APA

Morato, M. M., Normey‐Rico, J. E., & Sename, O. (2020). Sub‐optimal recursively feasible Linear Parameter‐Varying predictive algorithm for semi‐active suspension control. IET Control Theory & Applications. https://doi.org/10.1049/iet-cta.2020.0592

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crossref · retrieved 2026-09-25T05:04:50.610Z