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Concept

Fuzzy control system

Related publications (24)

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

Colin Neil Jones, Loris Di Natale

Deep Reinforcement Learning (DRL) recently emerged as a possibility to control complex systems without the need to model them. However, since weeks long experiments are needed to assess the performance of a building controller, people still have to rely on ...

2021

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Farzaneh Talebkeikhah, Mohsen Talebkeikhah

This study evaluates and compares several machine learning methods on the effects of different parameters in lead adsorption capacity. pH, contact time, adsorbent dosage and initial lead concentration were considered as inputs and adsorption capacity was r ...

TAYLOR & FRANCIS LTD2022

Self-commissioning glare-based control system for integrated venetian blind and electric lighting

Jean-Louis Scartezzini, Laurent Deschamps, Ali Motamed

Rule-based control logics have proven to be efficient for automation of shading and lighting systems. However, successful commissioning of these systems for multiple stores non-residential buildings, regardless of the control logic, requires time-consuming ...

2020

Introducing reinforcement learning to the energy system design process

Jean-Louis Scartezzini, Amarasinghage Tharindu Dasun Perera, Vahid Moussavi Nik, Pamuditha Udaranga Wickramasinghe

Design optimization of distributed energy systems has become an interest of a wider group of researchers due the capability of these systems to integrate non-dispatchable renewable energy technologies such as solar PV and wind. White box models, using line ...

2020

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Farzaneh Talebkeikhah, Mohsen Talebkeikhah

This study evaluates and compares several machine learning methods on the effects of different parameters in the hydrothermal carbonisation (HTC) process of macroalgae Sargassum horneri. Reaction temperature, residence time, biomass particle size, the amou ...

TAYLOR & FRANCIS LTD2021

Modeling and Assessment of Urban Energy Systems

Amarasinghage Tharindu Dasun Perera

Improving the energy sustainability of our cities involves the integration of multiple renewable energy technologies into existing energy infrastructure, stretching the capabilities of traditional energy systems to the limit. To consider the transition tak ...

EPFL2019

PCA and deep learning based myoelectric grasping control of a prosthetic hand

Huaiqi Huang

Background: For the functional control of prosthetic hand, it is insufficient to obtain only the motion pattern information. As far as practicality is concerned, the control of the prosthetic hand force is indispensable. The application value of prosthetic ...

2018

Deep Learning for Logic Optimization Algorithms

Giovanni De Micheli, Sabine Süsstrunk, Frédéric Kaplan, Mathias Soeken, Winston Jason Haaswijk, Benoît Laurent Auguste Seguin, Edo Collins

The slowing down of Moore's law and the emergence of new technologies puts an increasing pressure on the field of EDA. There is a constant need to improve optimization algorithms. However, finding and implementing such algorithms is a difficult task, espec ...

IEEE2018

On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensors

Jean-Louis Scartezzini, Laurent Deschamps, Ali Motamed

Electric lighting is responsible of about one fifth of the electricity demand of buildings in Switzerland. Therein, integrated control of sun shadings and artificial lighting can mitigate the electricity demand while maintaining the user comfort and perfor ...

Elsevier2017

Reflection: A Socratic approach

Reflection is a fuzzy concept. In this article we reveal the paradoxes involved in studying the nature of reflection. Whereas some scholars emphasize its discursive nature, we go further and underline its resemblance to the self-biased dialogue Socrates ha ...

Sage Publications Ltd2017

Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Alexis Berne, Jacopo Grazioli, Nikola Besic, Marco Gabella

Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations. The main drawback of the existing supervised classification methods, mostly based on fuzzy lo ...

Copernicus GmbH2016

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Novel models towards predictive control of advanced building systems and occupant comfort in buildings

Nikolaos Zarkadis

People in developed countries spend today most of their time inside buildings as part of the modern way of life. As a result, the building sector accounts for almost 40% of the total energy consumption and a big part of the energy bill goes to maintain the ...

EPFL2015

Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients

Kamiar Aminian, Anisoara Ionescu, Arash Arami, Fabien Massé

Background Stroke survivors often suffer from mobility deficits. Current clinical evaluation methods, including questionnaires and motor function tests, cannot provide an objective measure of the patients’ mobility in daily life. Physical activity performa ...

BioMed Central2015

Fuzzy Control System for Autonomous Navigation and Parking of Thymio II Mobile Robots

Francesco Mondada

This paper proposed a fuzzy controller for the autonomous navigation problem of robotic systems in a dynamic and uncertain environment. In particular, we are interested in determining the robot motion to reach the target while ensuring their own safety and ...

2014

Comparison Among Computational Intelligence Methods For Engine Knock Detection. Part 2

Anamaria Radoi

The novelty this article brings is the use of neural networks and neuro-fuzzy modeling to take the engine knock detection based on pressure and vibration samples taken from an internal combustion engine to the next step from previous achievements, the ulti ...

2012

Vehicle recognition from multi-spectral and LiDAR elevation data with object-oriented analysis

André-Gilles Dumont, Sofia Samoili

This research study addresses issues of transport modeling aiming to the recognition of vehicles, with perspective to generate a knowledge base for an automatic recognition of vehicles from similar type of data. Based on two datasets consisted of multi-spe ...

2011

Cross-shore sediment transport estimation using fuzzy inference system in the swash zone

Roham Bakhtyar

The interactions between fluid and sediment in the swash zone dominate the erosion or accretion of the beach, and they act as boundary conditions for nearshore hydrodynamic and morphodynamic models. Thus, the evaluation of sediment transport is of particul ...

2011

3D Objects Localization Using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Jacques Jacot, Alain Dufaux

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed ...

Hindawi Publishing Corporation2011

Realistic modeling of spectator behavior for soccer videogames with CUDA

Eray Molla

Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less att ...

2011