A kernel-based nonparametric approach to direct data-driven control of LTI systems
- Publication Type
- Conference abstract/paper published in a peer review journal
- Authors
- Vitro Cerone
- Diego Regruto
- Mohammad Abuabiah
- E. Fadda
In this work we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data. First we formulate the problem of designing a controller in order to match the behavior of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples.
Journal
- Title
- 18th IFAC Symposium on System Identification SYSID 2018
- Publisher
- sciencedirect
- Publisher Country
- United States of America
- Indexing
- Scopus
- Impact Factor
- None
- Publication Type
- Both (Printed and Online)
- Volume
- 51
- Year
- 2018
- Pages
- 1026-103