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Publications associées (29)

Data-driven methods for building control - A review and promising future directions

Colin Neil Jones, Yingzhao Lian, Emilio Maddalena

A review of the heating, ventilation and air-conditioning control problem for buildings is presented with particular emphasis on its distinguishing features. Next, we not only examine how data-driven algorithms have been exploited to tackle the main challe ...

2020

Additives: Their Influence on the Humidity- and Pressure-Induced Crystallization of Amorphous CaCO3

Esther Amstad, Camelia Borca, Huachuan Du, Mathias Steinacher, Alan Böhlen, Clémence Courrégelongue

Nature possesses a unique control over the formation of CaCO3 crystals that imparts fascinating mechanical properties to many CaCO3-based biomaterials. This high level of control is, at least in part, achieved through the use of certain soluble additives t ...

AMER CHEMICAL SOC2020

On Existence of Equilibria, Voltage Balancing, and Current Sharing in Consensus-Based DC Microgrids

Giancarlo Ferrari Trecate, Pulkit Nahata

This work presents new secondary regulators for current sharing and voltage balancing in DC microgrids, composed of distributed generation units, dynamic RLC lines, and nonlinear ZIP (constant impedance, constant current, and constant power) loads. The pro ...

IEEE2020

Recurrent Neural Network based MPC for Process Industries

Colin Neil Jones

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

Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs

Maher Kayal

Most medium and large commercial buildings in the U.S. are subject to complex electricity tariffs that combine both Time-of-Use (TOU) energy and demand charges. This study analyses the performances of different economic Model Predictive Control (MPC) formu ...

IEEE2019

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

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

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

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 ...

IEEE Institute of Electrical and Electronics Engineers2018

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

Robust Real-Time Control of Power Grids in the Presence of Communication Network Non-Idealities

Jean-Yves Le Boudec, Mario Paolone, Lorenzo Enrique Reyes Chamorro, Wajeb Saab, Roman Rudnik

Deploying a power grid controller in the field makes it susceptible to message losses caused by the inherent uncertainties and non-idealities of communication networks, especially when the control action is taken at a sub-second time-scale. We consider a c ...

2018

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