1 citations · 2 across the 4 of their papers we have counts for
4 papers
Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models
Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin
Data-driven control uses a past signal trajectory to characterise the input-output behaviour of a system. Willems' lemma provides a data-based prediction model allowing a control d…
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
Mohamed Abdalmoaty, Efe C. Balta, John Lygeros +1
It is well known that ignoring the presence of stochastic disturbances in the identification of stochastic Wiener models leads to asymptotically biased estimators. On the other han…
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…
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization
Ran Chen, Amber Srivastava, Mingzhou Yin +1
This paper introduces a dual input-output parameterization (dual IOP) for the identification of linear time-invariant systems from closed-loop data. It draws inspiration from the r…