Publications related to Online Feedback Optimization over Networks: A Distributed Model-free Approach

Related publications (15)

Data-Driven LPV Control for Harmonic Disturbance Rejection in a Hybrid Isolation Platform

A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of frequency-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input-multiple-output (MIMO ...

2025

Closed-Loop Control and Disturbance Mitigation of an Underwater Multi-Segment Continuum Manipulator

Kyle Liam Walker

The use of soft and compliant manipulators in marine environments represents a promising paradigm shift for subsea inspection, with devices better suited to tasks owing to their ability to safely conform to items during contact. However, limitations driven ...

Institute of Electrical and Electronics Engineers Inc.2025

Data-Driven Methods for Controller Design in Atomic Force Microscopy

Navid Asmari Saadabad

Ever since the advent of Atomic Force Microscope (AFM) the community of its users is expanding which led to a broad spectrum of applications. Most of these applications require AFM instruments with fast, accurate, and reliable performance. The sensors and ...

EPFL2024

Laser-based manufacturing of freeform glass micro-optics through topological transformation

Samuel Youcef Benketaf

Glass has been the material of choice for making optical elements, in large part due to its intrinsic properties: a temperature-dependent viscosity, which enables shaping the material into a broad variety of functional and artistic glassware. Silica glass ...

EPFL2024

Application of UV absorbance and electron-donating capacity as surrogates for micropollutant abatement during full-scale ozonation of secondary-treated wastewater

Urs von Gunten

Ozonation of secondary-treated wastewater for the abatement of micropollutants requires a reliable control of ozone doses. Changes in the UV absorbance of dissolved organic matter (DOM) during ozonation allow to estimate micropollutant abatement on-line an ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Overview of the TCV tokamak experimental programme

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Henri Weisen, Timothy Goodman, Yves Martin, Stefano Alberti, Duccio Testa, Jean-Marc Moret, Ivo Furno, Patrick Blanchard, Benoît Labit, Jan Horacek, Paolo Ricci, Jean-Philippe Hogge, Jonathan Graves, Stephan Brunner, Holger Reimerdes, Laurie Porte, Christian Gabriel Theiler, Federico Alberto Alfredo Felici, Alexander Karpushov, Joaquim Loizu Cisquella, Antoine Pierre Emmanuel Alexis Merle, Umar Sheikh, Xavier Llobet, Matteo Fontana, Simon Van Mulders, Alessandro Pau, Yanis Andrebe, Cristian Galperti, Joan Decker, Marcelo Baquero Ruiz, Cedric Kar-Wai Tsui, Mengdi Kong, Matteo Vallar, Olivier Claude Martin Février, Davide Galassi, Guang-Yu Sun, Pedro Andres Molina Cabrera, Filippo Bagnato, Roberto Maurizio, Oulfa Chellaï, Mirko Wensing, Claudia Colandrea, Curdin Tobias Wüthrich, Sophie Danielle Angelica Gorno, Francesco Carpanese, Nicola Offeddu, Aylwin Iantchenko, Maurizio Giacomin, Lorenzo Martinelli, Oleg Krutkin, Dahye Choi, Federico Pesamosca, Hugo Antoine Georges Arnichand, Dmytry Mykytchuk, Benjamin Alexandre Vincent, Umesh Kumar, Arsène Stéphane Tema Biwole, Lorenzo Stipani, Anna Ngoc Minh Trang Vu, Jean Arthur Cazabonne, Stefano Marchioni, Miguel Filipe Silva Füglister, Renat Karimov, Ajay Chandrarajan Jayalekshmi

The tokamak a configuration variable (TCV) continues to leverage its unique shaping capabilities, flexible heating systems and modern control system to address critical issues in preparation for ITER and a fusion power plant. For the 2019-20 campaign its c ...

IOP Publishing Ltd2022

A design methodology for charge-balanced stimulators based on anodic current variation monitoring

Alexandre Schmid, Reza Ranjandish

Charge balancing is a major safety concern in neural and functional electrical stimulation. This paper presents a novel and safe active charge balancing design methodology in which, after each cathodic and anodic stimulation pulse, the value of the remaini ...

2019

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

Colin Neil Jones, Emilio Maddalena

We propose a non-parametric regression method that does not rely on the structure of the ground-truth, but only on its regularity properties. The methodology can be readily used for learning surrogate models of nonlinear dynamical systems from data, while ...

2019

Linear-parameter-varying model predictive control for multi-region traffic systems

Nikolaos Geroliminis, Mohammadreza Saeedmanesh, Anastasios Kouvelas

An alternative approach for real-time network-wide traffic control in cities that has recently gained a lot of interest is perimeter flow control. The basic concept of such an approach is to partition heterogeneous cities into a small number of homogeneous ...

2019

Robust control for an electromagnetic actuator for a camless engine

Zlatina Kirilova Dimitrova

The increase of the effective efficiency of the internal combustion engines is important for the fuel consumption reduction and the CO2 emission reduction. The variable engine valve trains are important for the gas exchanges and influence directly the effe ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Alireza Karimi, Achille Nicoletti

The extensive use of frequency-domain tools for analyzing and controlling linear systems have become indispensable for the control systems engineer. However, due to the increased performance demands on today's industrial systems, the effects of certain non ...

Elsevier2018

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

Coalitional Control for Self-Organizing Agents

Ezequiel González Debada

Coalitional control is concerned with the management of multi-agent systems where cooperation cannot be taken for granted (due to, e.g., market competition, logistics). This paper proposes a model predictive control (MPC) framework aimed at large-scale dyn ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Two-phase calibration of a neuroprosthetic system

Grégoire Courtine, Marco Capogrosso, Eduardo Martin Moraud, Fabien Bertrand Paul Wagner, Tomislav Milekovic, Jérôme Gandar

Methods and systems are provided for triggering electrical stimulation of a spinal cord during execution of a motor event. In one example, a method comprises monitoring motor cortex activity while execution of a desired motor movement is attempted during a ...

2018

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 ...

ELSEVIER SCIENCE BV2018