Data-Driven Adversarial Online Control for Unknown Linear Systems

The author presents a novel data-driven online adaptive control algorithm to address the online control problem with unknown linear systems, leveraging behavioral systems theory and perturbation-based controllers to guarantee a regret bound matching the best-known result.