A5052360266- Hydraulic and Pneumatic Systems
- Vehicle Dynamics and Control Systems
- Structural Health Monitoring Techniques
- Building Energy and Comfort Optimization
- Iterative Learning Control Systems
- Cardiac electrophysiology and arrhythmias
- Vibration Control and Rheological Fluids
- Smart Grid Energy Management
- Cardiovascular Function and Risk Factors
- Neuroscience and Neural Engineering
- Embedded Systems Design Techniques
- Advanced Sensor and Control Systems
- Wind and Air Flow Studies
- Energy Load and Power Forecasting
- Urban Heat Island Mitigation
- Electrohydrodynamics and Fluid Dynamics
- Control and Dynamics of Mobile Robots
- Cardiac Arrhythmias and Treatments
- Robotic Path Planning Algorithms
- Solar Radiation and Photovoltaics
- Energy Efficiency and Management
- BIM and Construction Integration
- Teleoperation and Haptic Systems
- Elevator Systems and Control
- Geothermal Energy Systems and Applications
Swiss Center for Electronics and Microtechnology (Switzerland)
2016-2021
KU Leuven
2011-2014
École Polytechnique Fédérale de Lausanne
2001-2002
We introduce the Python-based open-source library Energym, a building model to test and benchmark controllers. The incorporated models are presented with brief explanation of their function, location technical equipment. Furthermore, structure is described, highlighting necessary features provide benchmarking control capabilities, i.e., standardized evaluation scenarios, key performance indicators (KPIs) forecasts uncertain variables. go on characterize scenarios for each give formal...
This paper presents a model that closely approximates the generalized Maxwell-Slip (GMS) model, multistate friction known to describe all essential characteristics in presliding and sliding motion. In contrast GMS which consists of switching structure accommodate for its hybrid nature, new referred as smoothed (S-GMS) an analytic set differential equations. Such is well suited gradient-based state parameter estimation, extended Kalman filter (EKF) or moving horizon estimation. Similar S-GMS...
This paper presents a smoothed friction model that closely approximates the Generalized Maxwell-Slip (GMS) model, multi-state known to describe all essential characteristics in presliding and sliding motion. In contrast GMS which consists of switching structure accommodate for its hybrid nature, Smoothed (S-GMS) an analytic set differential equations well suited on-line state parameter estimation, such as Moving Horizon Estimation (MHE). Efficient estimation is model-based compensation order...
The multi-state Generalized Maxwell-Slip (GMS) friction model is known to describe all essential characteristics in presliding and sliding motion. It also that due its switching state conditions between sliding, gradient-based parameter estimation methods cannot be implemented efficiently. Efficient on-line for model-based compensation order track changes of time space. This paper presents a Smoothed GMS (S-GMS) with an analytic set differential equations well suited techniques. Friction...
The ever increasing penetration of renewable production can be used to lower the operational costs households and districts. However, given its intermittent nature predicting their in order use it efficiently is mandatory. This article will discuss how photovoltaic prediction addressed. Prediction algorithms based on support vector regression (SVR) technique are developed compared a classical persistence model benchmark. errors between 7 12% for SVR with different forecast solar irradiance...
Efficient on-line state and parameter estimation is essential for model-based friction compensation in order to track changes of characteristics time space. This paper presents a moving horizon (MHE) algorithm using smoothed (analytic) version the Generalized Maxwell-Slip (GMS) model, multi-state model known describe all presliding sliding motion. In contrast GMS which consists switching structure accommodate its hybrid nature, Smoothed (S-GMS) an analytic set differential equations well...
Friction model identification is in most cases carried out an off-line manner, where separate measurements are performed to identify the presliding and sliding friction characteristics using specific excitation signals. However, a need exists update on-line parameters track dynamics during normal machine operation. This paper presents some preliminary results of split horizon estimator updated regular point-to-point motions. The approach alleviates non-smoothness improves convergence...
In this work different friction models are evaluated to determine how well these suited for performance simulation and control of a 6-DOF haptic device. The studied include, Dahl model, LuGre Generalized Maxwell slip model (GMS), smooth (S-GMS) Differential Algebraic Multistate (DAM) model. These both numerically experimentally with an existing device that is based on Stewart platform. order evaluate compensate friction, model-based feedback compensation strategy along PID controller were...
Optimizing energy flow at district level in order to minimize exploitation costs was carried out the framework of European project AMBASSADOR. The proposed solution relies on model predictive control and aims controlling battery set-point. present article focuses optimization problem formulation, development, test condition presentation associated result analysis. obtained savings are range 10 20%. However, very favorable cases, up 80% can be obtained. provided analysis explains this huge...
A realistic 3D anatomical model of human atria has been designed to study and better understand electrical propagation mechanisms. Besides normal sinus beat, pathological phenomena such as atrial flutter fibrillation have simulated. Having initiated arrhythmias, the authors' main objective is test different defibrillation techniques by means shock application. Varying intensity duration shocks, well area excited tissue, authors were able reproduce a curve success versus strength comparable...
Building Energy Simulation (BES) is typically used in the design phase, but predicted performances are often quite different from real building later measured. In recent years, a number of studies have focused on using BES construction and operation phases (Sterling, 2015). Use these involves complex data management, advanced algorithms targets for non-simulation experts. This paper addresses innovative calibration based identification zone level Key Parameter Modifiers (Azar, 2015), fault...
Today, computer models of the heart can simulate electrical propagation in complex and realistic anatomical structures. Nevertheless, direct comparison results with real cardiac phenomena remains difficult. The objective this work is to provide a validation numerical model tissue using published obtained microscopic structure (neonatal rat cell cultures). authors have therefore organized their virtual order allow experimental results. simulations were good agreement from cultures, showing...
State-of-the-art building simulation programs require detailed user input and long times to capture the dynamic behavior of envelope its integrated energy systems. A simplistic model will often be chosen for speed but at a cost reduced accuracy. This study uses Support Vector Regression generate trained that captures complexity system models created in Modelica, yields faster results. work is unique because it attempts non-linear dynamics occur due feedback loops present with multiple...