23 citations · 40 across the 14 of their papers we have counts for
16 papers
Modular Model Order Reduction for Inverter-Based Power Systems with Stability and Accuracy Guarantees
Hanqing Zhang, Pudong Ge, Mohammad Fahim Shakib +5
This paper proposes a modular model order reduction framework for large-scale power grids integrated with renewable energy sources. The proposed framework has the advantage of redu…
On the Solvability of Quasi-Regulator Equations in Non-smooth Output Regulation
Zirui Niu, Daniele Astolfi, Giordano Scarciotti
Motivated by the prevalence of non-smooth, possibly non-periodic signals in real-world applications, the output regulation of linear systems subject to non-smooth non-periodic exog…
Approximate Simulation-based Hierarchical Control of Nonlinear Systems
Zirui Niu, Antoine Girard, Giordano Scarciotti
Controlling complex dynamical systems to satisfy sophisticated specifications remains a significant challenge in modern engineering. A promising approach to this problem is the app…
Interconnection-based Model Reduction for Linear Hybrid Systems
Zirui Niu, Giordano Scarciotti, Alessandro Astolfi
In this paper, we address the model reduction problem for linear hybrid systems via the interconnection-based technique called moment matching. We consider two classical interconne…
Bridging Abstraction-Based Hierarchical Control and Moment Matching: A Conceptual Unification
Zirui Niu, Mohammad Fahim Shakib, Giordano Scarciotti
In this paper, we establish a relation between approximate-simulation-based hierarchical control (ASHC) and moment matching techniques, and build a conceptual bridge between these…
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…
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…
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…
Output Regulation of Linear Systems with Non-periodic Non-smooth Exogenous Signals
Zirui Niu, Daniele Astolfi, Giordano Scarciotti
We address the output regulation problem of linear systems with non-smooth and non-periodic exogenous signals. Specifically, we first formulate and solve the full-information probl…
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…
A polynomial approximation scheme for nonlinear model reduction by moment matching
Carlos Doebeli, Alessandro Astolfi, Dante Kalise +3
We propose a procedure for the numerical approximation of invariance equations arising in the moment matching technique associated with reduced-order modeling of high-dimensional d…
Steady-State Cascade Operators and their Role in Linear Control, Estimation, and Model Reduction Problems
John W. Simpson-Porco, Daniele Astolfi, Giordano Scarciotti
Certain linear matrix operators arise naturally in systems analysis and design problems involving cascade interconnections of linear time-invariant systems, including problems of s…
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…
Stochastic Relative Degree and Path-wise Control of Nonlinear Stochastic Systems
Alberto Mellone, Giordano Scarciotti
We address the path-wise control of systems described by a set of nonlinear stochastic differential equations. For this class of systems, we introduce a notion of stochastic relati…
On Moment Matching for Stochastic Systems
Giordano Scarciotti, Andrew R. Teel
In this paper we study the problem of model reduction by moment matching for stochastic systems. We characterize the mathematical object which generalizes the notion of moment to s…
Output Regulation of Linear Stochastic Systems
Alberto Mellone, Giordano Scarciotti
We address the output regulation problem for a general class of linear stochastic systems. Specifically, we formulate and solve the ideal full-information and output-feedback probl…