activity
20222025
most citedData-Driven Model Reduction by Two-Sided Moment Matching

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2025

One Equation to Rule Them All -- Part II: Direct Data-Driven Reduction and Regulation

Junyu Mao, Emyr Williams, Thulasi Mylvaganam +1

The Sylvester equation underpins a wide spectrum of control synthesis and systems analysis tools associated with cascade interconnections. In the preceding Part I [1] of this artic…

eess.SY2025

One Equation to Rule Them All -- Part I: Direct Data-Driven Cascade Stabilisation

Junyu Mao, Emyr Williams, Thulasi Mylvaganam +1

In this article we present a framework for direct data-driven control for general problems involving interconnections of dynamical systems. We first develop a method to determine t…

eess.SY2025

Data-Driven Model Reduction by Moment Matching for Linear and Nonlinear Parametric Systems

Hanqing Zhang, Junyu Mao, Mohammad Fahim Shakib +1

Theory and methods to obtain parametric reduced-order models by moment matching are presented. The definition of the parametric moment is introduced, and methods (model-based and d…

eess.SY2024

Model Order Reduction of Large-Scale Wind Farms: A Data-Driven Approach

Zilong Gong, Junyu Mao, Adrià Junyent-Ferré +1

This paper proposes a data-driven algorithm for model order reduction (MOR) of large-scale wind farms and studies the effects that the obtained reduced-order model (ROM) has when t…

eess.SY2022★ 1 cited

Data-Driven Model Reduction by Two-Sided Moment Matching

Junyu Mao, Giordano Scarciotti

In this brief paper, we propose a time-domain data-driven method for model order reduction by two-sided moment matching for linear systems. An algorithm that asymptotically approxi…