Distributed Robust Control for Systems with Structured Uncertainties

Abstract

We present D-Phi iteration: an algorithm for distributed, localized, and scalable robust control of systems with structured uncertainties. This algorithm combines the System Level Synthesis (SLS) parametrization for distributed control with stability criteria from L1, L-infinity, and nu robust control. We show in simulation that this algorithm achieves near-optimal nominal performance (within 12% of the LQR controller) while doubling or tripling the stability margin (depending on the stability criterion) compared to the LQR controller. To the best of our knowledge, this is the first distributed and localized algorithm for structured robust control; furthermore, algorithm complexity depends only on the size of local neighborhoods and is independent of global system size. We additionally characterize the suitability of different robustness criteria for distributed and localized computation, and discuss open questions on the topic of distributed robust control.Comment: Submitted to CDC 202