Publications associées à Optimal input design for direct data-driven tuning of model-reference controllers

Publications associées (8)

Design and implementation of a model-based hierarchical architecture for plasma shape control in the TCV tokamak

Olivier Sauter, Stefano Coda, Federico Alberto Alfredo Felici, Antoine Pierre Emmanuel Alexis Merle, Cristian Galperti, Adriano Mele, Alessandro Tenaglia

Plasma shape control is a fundamental tool for effective tokamak operation, allowing improved plasma performance and the pursuit of challenging scientific objectives. In this framework, the Tokamak á Configuration Variable (TCV) of the École Polytechnique ...

IOP Publishing2025

Navigating the Loop: From Control Systems to Neural Networks and Back

Clara Lucía Galimberti

The work presented in this thesis lies at the intersection of Machine Learning (ML) and control theory. The first part is dedicated to the design of Deep Neural Network (DNN) architectures with specific numerical properties, inspired by dynamical systems m ...

EPFL2024

Data-Driven Controller Design for Atomic-Force Microscopy

Alireza Karimi, Georg Fantner, Adrian Pascal Nievergelt, Christoph Manuel Kammer

A novel method to design data-driven, fixed-structure controllers with H2 and H∞ performance objectives is presented. The control design problem is transformed into a convex optimization problem with linear matrix inequality constraints, which can be solve ...

2017

On input design for direct data-driven controller tuning

Alireza Karimi

In recent years, noniterative Correlation-based Tuning (CbT) and Virtual Reference Feedback Tuning (VRFT) have been proposed as an alternative to the standard model-based approach for model-reference control design. In this work, the problem of input desig ...

2012

Low power current-mode binary-tree asynchronous Min/Max circuit

Rafal Tomasz Dlugosz

A novel, current-mode, binary-tree, asynchronous Min/Max circuit for application in nonlinear filters as well as in analog artificial neural networks is proposed. The relatively high precision above 99% can be achieved by eliminating the copying of the inp ...

2010

Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation

Rafal Tomasz Dlugosz

In this paper, we propose a new category of current-mode Łukasiewicz OR and AND logic neurons and ensuing logic networks along with their ultra-low power realization. The introduced circuits can operate in a wide range of the input signals varying in-betwe ...

Elsevier2010

Robust PID controller tuning with specifications on the infinity-norm of sensitivity functions

Alireza Karimi, Roland Longchamp, Daniel Garcia

An overview of the recent works on proportional integral derivative (PID) controller tuning methods based on specifications on the infinity-norm of the sensitivity functions is presented. The presented approach is very flexible relative to the controller s ...

2007

Mechatronic elements and haptic rendering for computer-assisted minimally invasive surgery training

Thomas Moix

Technological advances of the last decades enabled the development of a set of new medical techniques that differ from traditional open surgery. These techniques, referred to as minimally invasive surgery (MIS), involve complex instruments and imaging devi ...

EPFL2005