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 analyze the convergence properties of a robust adaptive model predictivecontrol algorithm used to control an unknown nonlinear system. We show that byemploying a standard quadratic stabilizing cost function, and by recursivelyupdating the nominal model through kinky inference, the resulting controllerensures convergence of the true system to the origin, despite the presence ofmodel uncertainty. We illustrate our theoretical findings through a numericalsimulation.

Convergence guarantees for adaptive model predictive control with kinky inference