Direct data-driven design of switching controllers

Valentina Breschi; Simone Formentin

doi:10.1002/rnc.4821

Direct data-driven design of switching controllers

Valentina Breschi
, Simone Formentin

Research output: Contribution to journal › Article › Academic › peer-review

27 Citations (Scopus)

Abstract

Switching linear models can be used to represent the behavior of hybrid, time-varying, and nonlinear systems, while generally providing a satisfactory trade-off between accuracy and complexity. Although several control design techniques are available for such models, the effect of modeling errors on the closed-loop performance has not been formally evaluated yet. In this paper, a data-driven synthesis scheme is thus introduced to design optimal switching controllers directly from data, without needing a model of the plant. In particular, the theory will be developed for piecewise affine controllers, which have proven to be effective in many real-world engineering applications. The performance of the proposed approach is illustrated on some benchmark simulation case studies.

Original language	English
Pages (from-to)	6042-6072
Number of pages	31
Journal	International Journal of Robust and Nonlinear Control
Volume	30
Issue number	15
DOIs	https://doi.org/10.1002/rnc.4821
Publication status	Published - 1 Oct 2020
Externally published	Yes

Bibliographical note

Funding Information:
The work of V. Breschi and S. Formentin has been partially founded by the Lombardia region and the Cariplo foundation, under the project Learning to Control (L2C),no. 2017‐1520.

Funding

The work of V. Breschi and S. Formentin has been partially founded by the Lombardia region and the Cariplo foundation, under the project Learning to Control (L2C),no. 2017‐1520.

Keywords

data-driven control
model-free control
piecewise affine systems
switching systems

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10.1002/rnc.4821

Cite this

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Direct data-driven design of switching controllers

Abstract

Bibliographical note

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Keywords

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