87 citations · 129 across the 19 of their papers we have counts for
4 papers · 1 filter
Stochastic Data-Driven Predictive Control: Regularization, Estimation, and Constraint Tightening
Mingzhou Yin, Andrea Iannelli, Roy S. Smith
Data-driven predictive control methods based on the Willems' fundamental lemma have shown great success in recent years. These approaches use receding horizon predictive control wi…
An Online Learning Analysis of Minimax Adaptive Control
Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
We present an online learning analysis of minimax adaptive control for the case where the uncertainty includes a finite set of linear dynamical systems. Precisely, for each system…
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1
Inexact methods for model predictive control (MPC), such as real-time iterative schemes or time-distributed optimization, alleviate the computational burden of exact MPC by providi…
A Dual System-Level Parameterization for Identification from Closed-Loop Data
Amber Srivastava, Mingzhou Yin, Andrea Iannelli +1
This work presents a dual system-level parameterization (D-SLP) method for closed-loop system identification. The recent system-level synthesis framework parameterizes all stabiliz…