In this article, we consider estimation and control in linear dynamical systems from the
perspective of regret minimization. Unlike most prior work in this area, we focus on the …

Modern control designs in robotics, aerospace, and cyber-physical systems rely heavily on
real-world data obtained through system outputs. However, these outputs can be …

Inspired by online learning, data-dependent regret has recently been proposed as a
criterion for controller design. In the regret-optimal control paradigm, causal controllers are …