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

In this paper we design suboptimal control laws for an unknown linear systemon the basis of measured data. We focus on the suboptimal linear quadraticregulator problem and the suboptimal H2 control problem. For both problems, weestablish conditions under which a given data set contains sufficientinformation for controller design. We follow up by providing a data-drivenparameterization of all suboptimal controllers. We will illustrate our resultsby numerical simulations, which will reveal an interesting trade-off betweenthe number of collected data samples and the achieved controller performance.

Data-driven parameterizations of suboptimal LQR and H2 controllers