Publications by Luca Furieri | EPFL Graph Search

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Learning the Globally Optimal Distributed LQ Regulator

Maryam Kamgarpour, Luca Furieri

We study model-free learning methods for the output-feedback Linear Quadratic (LQ) control problem in finite-horizon subject to subspace constraints on the control policy. Subspace constraints naturally arise in the field of distributed control and present ...

PMLR2020

Sparsity Invariance for Convex Design of Distributed Controllers

Maryam Kamgarpour, Luca Furieri, Yu Zheng

We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI systems, which corresponds to minimizing a norm of the closed-loop system subjected to sparsity constraints on the controller structure. This problem is NP-h ...

2020

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

Maryam Kamgarpour, Luca Furieri

We consider the problem of computing optimal linear control policies for linear systems in finite-horizon. The states and the inputs are required to remain inside prespecified safety sets at all times despite unknown disturbances. In this technical note, w ...

2019

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Maryam Kamgarpour, Luca Furieri

This letter proposes a novel input-output parametrization of the set of internally stabilizing output-feedback controllers for linear time invariant (LTI) systems. Our underlying idea is to directly treat the closed-loop transfer matrices from disturbances ...

2019

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

Maryam Kamgarpour, Luca Furieri

We consider the problem of designing a stabilizing and optimal static controller with a pre-specified sparsity pattern. Since this problem is NP-hard in general, it is necessary to resort to approximation approaches. In this paper, we characterize a class ...

IEEE2019

Robust Distributed Control Beyond Quadratic Invariance

Maryam Kamgarpour, Luca Furieri

The problem of robust distributed control arises in several large-scale systems, such as transportation networks and power grid systems. In many practical scenarios controllers might not have enough information to make globally optimal decisions in a tract ...

IEEE2018

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

Maryam Kamgarpour, Luca Furieri

This paper considers the evolution of independent offshore HVDC links into a multi-terminal network. It proposes a control strategy to maximize the DC voltage stability under the worst-case perturbation scenario and considers the intermittent nature of the ...

IEEE2018

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

Maryam Kamgarpour, Luca Furieri

This paper analyzes the problem of the expansion of an offshore HVDC network. We assess which new HVDC link deployment ensures the highest stabilization of the DC voltage under transient conditions, in the worst-case scenario and for a given grid topology. ...

IEEE2018

Robust control of constrained systems given an information structure

Maryam Kamgarpour, Luca Furieri

We study finite horizon optimal control where the controller is subject to sensor-information constraints, that is, each input has access to a fixed subset of states at all times. In particular, we consider linear systems affected by exogenous disturbances ...

IEEE2017

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System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Learning the Globally Optimal Distributed LQ Regulator

Sparsity Invariance for Convex Design of Distributed Controllers

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

Robust Distributed Control Beyond Quadratic Invariance

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

Robust control of constrained systems given an information structure

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Learning the Globally Optimal Distributed LQ Regulator

Sparsity Invariance for Convex Design of Distributed Controllers

Robust Distributed Control Beyond Quadratic Invariance

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

Robust control of constrained systems given an information structure