Data-Driven Control: Part One of Two [About this Issue]

Abstract

This issue of IEEE Control Systems is the first of two special issues devoted to data-driven control. The guest editor for these two issues is Florian Dörfler, and he was helped by our associate editor, Daniel Quevedo. They assembled seven articles for this special issue, the first four of which appear in the present issue: “Data-Driven Control Based on the Behavioral Approach: From Theory to Applications in Power Systems,” by Ivan Markovsky, Linbin Huang, and Florian Dörfler [A1] ; “Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control,” by Algo Carè, Ruggero Carli, Alberto Dalla Libera, Diego Romeres, and Gianluigi Pillonetto [A2] ; “Quasi-Stochastic Approximation: Design Principles With Applications to Extremum Seeking Control,” by Caio Kalil Lauand and Sean Meyn [A3] ; and “Data-Driven Safety Filters: Hamilton-Jacobi Reachability, Control Barrier Functions, and Predictive Methods for Uncertain Systems,” by Kim P. Wabersich, Andrew J. Taylor, Jason J. Choi, Koushil Sreenath, Claire J. Tomlin, Aaron D. Ames, and Melanie N. Zeilinger [A4] . The four articles are described in the introductory article by Guest Editor Florian Dörfler [A5] .