Kernel methods and gaussian processes for system identification and control: A road map on regularized kernel-based learning for control
The commonly adopted route to control a dynamic system and make it follow the desired
behavior consists of two steps. First, a model of the system is learned from input–output data …
behavior consists of two steps. First, a model of the system is learned from input–output data …
[HTML][HTML] Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables
S Szentpéteri, BC Csáji - Systems & Control Letters, 2023 - Elsevier
The paper suggests a generalization of the Sign-Perturbed Sums (SPS) finite sample system
identification method for the identification of closed-loop observable stochastic linear …
identification method for the identification of closed-loop observable stochastic linear …
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)
Sign-Perturbed Sums (SPS) is a system identification method that constructs confidence
regions for the unknown system parameters. In this paper, we study SPS for ARX systems …
regions for the unknown system parameters. In this paper, we study SPS for ARX systems …
[PDF][PDF] Kernel methods and Gaussian processes for system identification and control
This article reviews some kernel-based approaches for system identification and learning-
based control. In the first part, the presentation moves from classic linear system …
based control. In the first part, the presentation moves from classic linear system …