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Publications associées (127)

Recurrent Neural Network based MPC for Process Industries

Autonomous operation of industrial plants requires a cheap and efficient way of creating dynamic process models, which can then be used to either be part of the autonomous systems or to serve as simulators for reinforcement learning. The trends of digitali ...

IEEE2019

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Alireza Karimi, Achille Nicoletti

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex cons ...

WILEY2019

An Event-Driven Closed-Loop System for Real-Time FES Control

Silvestro Micera, Andrea Crema, Danilo Demarchi

Active functional rehabilitation procedures, exoskeleton application and prosthesis employment are essential tools for the society life reinstatement of subjects affected by neuromuscular disorders or victims of serious physical accident. In this paper we ...

IEEE2019

Closed-Loop Haptic Feedback Control Using a Self-Sensing Soft Pneumatic Actuator Skin

Stéphanie Lacour, Jamie Paik, Harshal Arun Sonar, Aaron Powers Gerratt

In this article, we achieve a closed-loop control over haptic feedback, first time for an entirely soft platform. We prototyped a novel self-sensing soft pneumatic actuator (SPA) with soft strain sensors, called SPA-skin, which withstands large multiaxial ...

2019

Non-linear transfer function identification of pressure probes using Siren Disks

Jürg Alexander Schiffmann, Karim Magdi Zakaria Abdelrahman Shalash, Fatma Ceyhun Sahin

This article presents a Siren Disk proof of concept for the dynamic excitation of pressure probes, and a method to reconstruct distorted signals due to pneumatic channels. Constraints in sensor installation require placing a pressure transducer distant fro ...

2018

Brillouin Distributed Optical Fiber Sensor Based on a Closed-Loop Configuration

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Desmond Chow Ming Chia, Pabitro Ray

A Brillouin optical time-domain analysis (BOTDA) method based on a closed-loop control system is proposed to track fast variations of the Brillouin frequency shift along the sensing fiber. Whilst the method eliminates the gain spectral scanning, the exact ...

2018

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

Research on modal vibration suppression of maglev steel strip based on phase compensator

Yuanping Xu

In the process of vibration suppression of hot galvanized steel strip by using maglev technology, the flexible modal vibration control of steel strip is a challenging problem. Aiming at this problem, this paper proposes a phase compensation control algorit ...

2018

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

Configuration of electrical spinal cord stimulation through real-time processing of gait kinematics

Grégoire Courtine, Jocelyne Bloch, Eduardo Martin Moraud, Tomislav Milekovic, Marco Capogrosso, Pavel Musienko, Nikolaus Wenger, Fabien Bertrand Paul Wagner, Jérôme Gandar, Polina Shkorbatova, Natalia Pavlova

Epidural electrical stimulation (EES) of the spinal cord and real-time processing of gait kinematics are powerful methods for the study of locomotion and the improvement of motor control after injury or in neurological disorders. Here, we describe equipmen ...

2018

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