{"id":4688,"date":"2021-11-26T13:30:39","date_gmt":"2021-11-26T13:30:39","guid":{"rendered":"https:\/\/avadawebsites.wpengine.com\/classic\/?page_id=4688"},"modified":"2026-10-22T16:49:19","modified_gmt":"2026-10-22T19:49:19","slug":"research","status":"publish","type":"page","link":"https:\/\/www.datadrivencontrol.com\/?page_id=4688","title":{"rendered":"Research"},"content":{"rendered":"

RESEARCH<\/p>\n<\/div>

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Control design and system identification from data.<\/h2><\/span>
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We study how to design controllers and identify models using data collected on the process. Our contributions range from the theory of data-driven control, such as convergence, identifiability and statistical properties of the estimates, to methods and software that engineers can apply on real plants.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Virtual Reference Feedback Tuning<\/h2><\/div>
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One-shot controller tuning from a single batch of data. We have extended VRFT to non-minimum phase plants, multivariable and cascade systems, nonlinear controllers and disturbance rejection (Virtual Disturbance Feedback Tuning).<\/div><\/div><\/div>
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Optimal Controller Identification<\/h2><\/div>
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Data-driven model reference control formulated as a prediction error identification problem, for single-loop and multivariable systems, including non-minimum phase plants.<\/div><\/div><\/div>
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Iterative Methods & The H2 Framework<\/h2><\/div>
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Convergence and robustness of iterative data-based tuning such as IFT and CbT, and the unifying H2 framework presented in our Springer book.<\/div><\/div><\/div>
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System Identification<\/h2><\/div>
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Prediction error methods, identifiability and uniqueness of the minimum, input design, regularized estimation and errors-in-variables problems.<\/div><\/div><\/div>
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Dynamic Networks<\/h2><\/div>
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Identifiability of dynamic networks with partial node measurements and singular noise spectra, and optimal excitation and measurement patterns.<\/div><\/div><\/div>
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PID & Resonant Controllers<\/h2><\/div>
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Tuning rules and the generalized forced oscillation method for PID and proportional-resonant controllers, and data-driven performance monitoring and retuning.<\/div><\/div><\/div>
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Applications<\/h2><\/span>
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See publications<\/span><\/i><\/a><\/div><\/div><\/div>

Power electronics (DC\u2013DC converters and uninterruptible power supplies), power systems (wide-area damping controllers), industrial wireless networks (WirelessHART), multivariable process control on pilot plants, bioreactors and epidemic models.<\/p>\n<\/div>

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Experiments on real plants<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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pyvrft<\/h2><\/span>
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Read the paper<\/span><\/i><\/a><\/div><\/div><\/div>

An open-source Python package for Virtual Reference Feedback Tuning, by E. Boeira and D. Eckhard, published in SoftwareX (2020).<\/p>\n<\/div>

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Python \u00b7 Open source<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Data-driven Controller Design: The H2<\/sub> Approach<\/h2><\/span>
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View on Springer<\/span><\/i><\/a><\/div><\/div><\/div>

A. S. Bazanella, L. Campestrini and D. Eckhard. A comprehensive theoretical treatment of the H2 approach to data-driven control design, with practical designs for thermal, fluid processing and electromechanical processes.<\/p>\n<\/div>

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Springer, 2012<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":4963,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-4688","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/pages\/4688","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4688"}],"version-history":[{"count":1,"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/pages\/4688\/revisions"}],"predecessor-version":[{"id":5318,"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/pages\/4688\/revisions\/5318"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=\/wp\/v2\/media\/4963"}],"wp:attachment":[{"href":"https:\/\/www.datadrivencontrol.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}