Publications associées à Vanne automatique

Modeling and analysis of miniaturized magnetorheological valve for fluidic actuation

Fluidic actuation enables movement in a wide range of mechanical systems, from simple laboratory devices to more complex industrial machinery. Fluids are used to generate motion of mechanical pieces. The term "fluids" encompasses two types of technologies: ...

EPFL2023

Data-driven Methods for Control: from Linear to Lifting

Yingzhao Lian

The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...

EPFL2023

Improving hand prosthesis control with advanced single-finger proportional decoding and robotic shared control

Vincent Alexandre Mendez

Myoelectric prostheses allow users to recover lost functionality by controlling a robotic device with their remaining muscle activity. Commercial devices usually use a two-recording-channel system placed on specific muscles to control a single degree of fr ...

EPFL2023

Data-driven and Safe Networked Control with Applications to Microgrids

Mustafa Sahin Turan

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

Scalable Fabrication and Actuation of a Human Inspired Hand Through 3D Printed Flexures and Combinatorial Actuation

Josephine Anna Eleanor Hughes, Kai Christian Junge, Carlo Bosio

The fabrication and control of robot hands with biologically inspired structure remains challenging due to its cost and complexity. In this paper we explore how widely available FDM printers can be used to fabricate complex hand structures by leveraging co ...

FRONTIERS MEDIA SA2022

Actuator, valve actuator unit and valve

Herbert Shea, Fabio Beco Albuquerque

An actuator (22) comprises at least one actuator body (32) of dielectric elastomeric material and two electrodes (34, 36) being attached to opposite surfaces of the actuator body (32), respectively. At least one of the actuator body (32) and at least one o ...

2022

Resource-Aware Stochastic Self-Triggered Model Predictive Control

Colin Neil Jones, Yuning Jiang, Yingzhao Lian

This letter considers the control of uncertain systems operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered control techniques that schedule system operation non-uniformly in ti ...

2021

New Tools for MOOC/MOOL to Sustain Continuity of Experimentation in Control

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

The use of interactive tools combined with remote laboratories has shown to be very useful for students when offered in a MOOC. The EPFL hands-on Control MOOC enables students to switch back and forth between control and observation on a remote laboratory, ...

Elsevier2019

Shared human–robot proportional control of a dexterous myoelectric prosthesis

Aude Billard, Silvestro Micera, Vincent Alexandre Mendez, Fiorenzo Artoni, Francesco Maria Petrini, Nicolas Sommer, Edoardo D'Anna, Emanuele Formento, Saurav Aryan, Katie Zhi Zhuang

Myoelectric prostheses allow users to recover lost functionality by controlling a robotic device with their remaining muscle activity. Such commercial devices can give users a high level of autonomy, but still do not approach the dexterity of the intact hu ...

2019

System to deliver adaptive epidural and/or subdural electrical spinal cord stimulation to facilitate and restore locomotion after a neuromotor impairment

Silvestro Micera, Grégoire Courtine, Eduardo Martin Moraud, Nikolaus Wenger, Marco Bonizzato

The present disclosure provides a closed-loop system for real-time control of epidural and/or subdural electrical stimulation comprising means for applying to a subject neuromodulation with adjustable stimulation parameters, said means being operatively co ...

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

Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation

Dominique Bonvin, Martand Singhal, Afaq Ahmad

Iterative real-time optimization schemes that employ modifier adaptation add bias and gradient correction terms to the model that is used for optimization. These affine corrections lead to meeting the first-order necessary conditions of optimality of the p ...

ELSEVIER SCIENCE BV2018

“Our Inherent Desire for Control”: a Case Study of Automation’s Impact on the Perception of Comfort

Marilyne Andersen, Thomas Bernard Paul Jusselme, Arianna Brambilla, Hamed Seiied Alavi, Himanshu Verma

To investigate the relationship between occupants’ perception of control over building elements and their comfort, we conducted a study where two prototype office rooms were compared: while the first room allowed occupants to open or close the window and c ...

ELSEVIER2017

Integration of Perimeter Control and Route Guidance in Large-scale Urban Networks via Model Predictive Control

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic congestion is a substantial problem plaguing modern society. Researchers and practitioners working on transportation systems turn to methods from automatic control to decrease congestion and improve urban mobility. Considering the sheer physical si ...

2017

Predictive Control of Buildings for Demand Response and Ancillary Services Provision

Faran Ahmed Qureshi

This thesis develops optimization based techniques for the control of building heating, ventilation, and air-conditioning (HVAC) systems for the provision of demand response and ancillary services to the electric grid. The first part of the thesis focuses ...

EPFL2017

System to deliver adaptive epidural and/or subdural electrical spinal cord stimulation to facilitate and restore locomotion after a neuromotor impairment

Silvestro Micera, Grégoire Courtine, Eduardo Martin Moraud, Nikolaus Wenger, Marco Bonizzato

The present invention provides a closed-loop system for real-time control of epidural and/or subdural electrical stimulation comprising: means for applying to a subject neuromodulation with adjustable stimulation parameters, said means being operatively co ...

2016

Real Time Hybrid Model Predictive Control for the Current Profile of the Tokamak a Configuration Variable (TCV)

Stefano Coda, Jean-Marc Moret, Hoang Bao Le

Plasma stability is one of the obstacles in the path to the successful operation of fusion devices. Numerical control-oriented codes as it is the case of the widely accepted RZIp may be used within Tokamak simulations. The novelty of this article relies in ...

2016

Offset-Free Output Feedback Predictive Control for Longitudinal Beam Dynamics in Heavy Ion Synchrotrons

Timm Faulwasser

Control of the longitudinal beam dynamics in heavy ion synchrotrons is a challenging task due primarily to the very fast time constants present in the system. Recently, the authors developed a model predictive controller for this system and demonstrated th ...

2014

Distributed digital real-time control system for TCV tokamak

Olivier Sauter, Basil Duval, Stefano Coda, Jean-Marc Moret, Federico Alberto Alfredo Felici, Damien Fasel, Philippe Marmillod, James Paley, Hoang Bao Le

A new digital feedback control system (named the SCD "Systeme de Controle Distribue") has been developed, integrated and used successfully to control TCV (Tokamak a Configuration Variable) plasmas. The system is designed to be modular, distributed, and sca ...

Elsevier Science Sa2014

Control concepts for facilitating motorway on-ramp merging using intelligent vehicles

Riccardo Scarinci

Congestion at motorway junctions is a traffic phenomenon that degrades operation of infrastructure and can lead to breakdown of traffic flow and associated reduction in capacity. Advanced communication technologies open new possibilities to prevent or at l ...

2014