Publications related to Improvements on "Fast Space-Variant Elliptical Filtering Using Box Splines"

Data-driven and Safe Networked Control with Applications to Microgrids

Today, automatic control is integrated into a wide spectrum of real-world systems such as electrical grids and transportation networks. Many of these systems comprise numerous interconnected agents, perform safety-critical operations, or generate large amo ...

EPFL2022

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Hoài-Minh Nguyên

The controllability cost for the heat equation as the control time

T

goes to 0 is well-known of the order

e^{C/T}

for some positive constant

C

, depending on the controlled domain and for all initial datum. In this paper, we prove that the constant $C ...

2021

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Alireza Karimi, Seyed Sohail Madani

Power-Hardware-in-the-Loop (PHIL) setups have gained high importance in validation of the performance of newly developed instruments and devices with low risk and implementation cost. However, the interconnection of a power hardware with a simulated model ...

2020

Improving sound absorption through nonlinear active electroacoustic resonators

Romain Christophe Rémy Fleury, Hervé Lissek, Xinxin Guo

Absorbing airborne noise at frequencies below 300 Hz is a particularly vexing problem due to the absence of natural sound absorbing materials at these frequencies. The prevailing solution for low-frequency sound absorption is the use of passive narrow-band ...

2020

Convex Optimization-Based Control Design for Parallel Grid-Connected Inverters

Alireza Karimi, Christoph Manuel Kammer

This paper presents a novel frequency-domain approach toward the control design for parallel grid-connected voltage source inverters (VSIs) with LCL output filters. The proposed method allows the controllers of multiple VSIs to be designed in a single step ...

2019

Kernel methods and Model predictive approaches for Learning and Control

Sanket Sanjay Diwale

Data-driven modeling and feedback control play a vital role in several application areas ranging from robotics, control theory, manufacturing to management of assets, financial portfolios and supply chains. Many such problems in one way or another are rela ...

EPFL2019

Model-based predictive control methods for distributed energy resources in smart grids.

Luca Fabietti

This thesis develops optimization-based techniques for the control of distributed energy resources to provide multiple services to the power network. It is divided into three parts. The first part of this thesis focuses on the development of a framework f ...

EPFL2019

Frequency-Domain Control Design in Power Systems

Christoph Manuel Kammer

The scope of this thesis encompasses two main subjects: fixed-structure data-driven control design on one side, and control design in power systems on the other. The overall goal is to identify challenging and relevant problems in power systems, to express ...

EPFL2018

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Achille Nicoletti

The objective of this dissertation is to develop data-driven frequency-domain methods for designing robust controllers through the use of convex optimization algorithms. Many of today's industrial processes are becoming more complex, and modeling accurate ...

EPFL2018

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

Francisco Fernandes Castro Rego

This paper presents a solution to the problem of path following control for autonomous marine vehicles (AMVs) subject to input constraints and constant ocean current disturbances. We propose two nonlinear control strategies: the first is obtained by using ...

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Improvements on "Fast Space-Variant Elliptical Filtering Using Box Splines"

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Data-driven and Safe Networked Control with Applications to Microgrids

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Improving sound absorption through nonlinear active electroacoustic resonators

Convex Optimization-Based Control Design for Parallel Grid-Connected Inverters

Kernel methods and Model predictive approaches for Learning and Control

Model-based predictive control methods for distributed energy resources in smart grids.

Frequency-Domain Control Design in Power Systems

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Kernel methods and Model predictive approaches for Learning and Control

Data-driven and Safe Networked Control with Applications to Microgrids

Improving sound absorption through nonlinear active electroacoustic resonators

Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Frequency-Domain Control Design in Power Systems

Convex Optimization-Based Control Design for Parallel Grid-Connected Inverters

Model-based predictive control methods for distributed energy resources in smart grids.