2019 IEEE 58th Conference on Decision and Control (CDC) 2019
DOI: 10.1109/cdc40024.2019.9029958
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Towards Data-Driven LPV Controller Synthesis Based on Frequency Response Functions

Abstract: DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal… Show more

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Cited by 10 publications
(9 citation statements)
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References 23 publications
(27 reference statements)
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“…The feedback interconnection (10) achieves robust performance w.r.t. (12) if it is robustly stable and if there exists some Π d ∈ Π d such that (11) holds for all trajectories of (10) generated by w ∈ L nw 2 . Corollary 3.…”
Section: Robust Performance Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The feedback interconnection (10) achieves robust performance w.r.t. (12) if it is robustly stable and if there exists some Π d ∈ Π d such that (11) holds for all trajectories of (10) generated by w ∈ L nw 2 . Corollary 3.…”
Section: Robust Performance Analysismentioning
confidence: 99%
“…While time-domain approaches have been developed, e.g. [10], frequency domain methods [11], [12] mainly focus on single-input single-output (SISO) LPV systems. Common drawbacks of these methods include conservative stability and performance constraints, and limited freedom in the controller parameterization.…”
Section: Introductionmentioning
confidence: 99%
“…See [21, Chapter 9.2] for an overview of OBF based LPV model structures. The OBF controller parameterization enables tuning of both the poles and zeros of the controller, in contrast to previous data-driven frequency-domain LPV tuning methods [17]- [19]. Additional controller requirements are discussed in [28].…”
Section: W (P)mentioning
confidence: 99%
“…Based on a homotopy argument, (19) corresponds to Condition 1b) in Theorem 1, which through 1c) is equivalent with…”
mentioning
confidence: 99%
“…Quando o sistema não linear não opera em apenas um ponto de equilíbrio, o desempenho do sistema em malha fechada operando com um controlador LIT fica deteriorado, e estruturas mais complexas de controladores devem ser projetadas. Posto isto, existem na literatura algumas extensões de métodos de controle baseado em dados para projetar controladores não lineares, como a apresentada por Bazanella e Neuhaus (2014), para projeto de controladores NARX -do inglês Nonlinear Autoregressive Exogenous Model -, por Bloemers et al (2019) para o projeto de controladores LPV no domínio da frequência e as apresentadas por Karimi et al (2009), Formentin e Savaresi (2011) e Formentin et al (2016) para projeto de controladores LPV no domínio do tempo.…”
Section: Introdu ç ãOunclassified