English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We propose a new method to obtain feedback controllers of an unknowndynamical system directly from noisy input/state data. The key ingredient ofour design is a new matrix S-lemma that will be proven in this paper. Weprovide both strict and non-strict versions of this S-lemma, that are ofinterest in their own right. Thereafter, we will apply these results todata-driven control. In particular, we will derive non-conservative designmethods for quadratic stabilization, H_2 and H_inf control, all in terms ofdata-based linear matrix inequalities. In contrast to previous work, thedimensions of our decision variables are independent of the time horizon of theexperiment. Our approach thus enables control design from large data sets.

From noisy data to feedback controllers: non-conservative design via a matrix S-lemma