A kernel-based nonparametric approach to direct data-driven control of LTI systems
A kernel-based nonparametric approach to direct data-driven control of LTI systems is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include non-parametric statistics, kernel, noise, computer science, identification, system identification, mathematical optimization, irrigation controller, model predictive control, fault detection and isolation, mathematics, bounded function, and control theory. The authors 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.