Results 11 to 20 of about 421,397 (304)

Peafowl optimization algorithm based PV cell models parameter identification

open access: yesFrontiers in Energy Research, 2022
Photovoltaic (PV) power generation can considerably reduce the consumption of traditional fossil energy and improve environmental problems. Reliable photovoltaic (PV) cell modelling owns great significance to the following output characteristics analysis
You Zheng, Enyou Zhang, Peng An
doaj   +1 more source

Practical Considerations in the Modelling and Simulation of Electromechanical Actuators

open access: yesActuators, 2020
The work reported here was aimed at improving the practical efficiency of the model-based development and integration of electromechanical actuators. Models are proposed to serve as preliminary design, virtual prototyping, and validation.
Jean-Charles Maré
doaj   +1 more source

FUZZY-GENETIC CONTROL OF QUADROTOR UNMANNED AERIAL VEHICLES [PDF]

open access: yesInterdisciplinary Description of Complex Systems, 2016
This article presents a novel fuzzy identification method for dynamic modelling of quadrotor unmanned aerial vehicles. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for ...
Attila Nemes
doaj   +1 more source

Kalman Filter Finite Element Method for Real-Time Soft Tissue Modeling

open access: yesIEEE Access, 2020
Soft tissue modelling plays a significant role in surgery simulation as well as surgical procedure planning and training. However, it is a challenging research task to satisfy both physical realism and real-time simulation for soft tissue deformation ...
Hujin Xie   +3 more
doaj   +1 more source

Indirect Electro-Thermal Modelling of Semiconductor Diode Using Non-Linear Behavior of Volt-Ampere Characteristic

open access: yesEnergies, 2021
The aim of the proposed paper is the development of an electro-thermal model of semiconductor component using an indirect modelling approach. The approach is based on the integration of the component’s electrical properties considering non-linear ...
Michal Frivaldsky, Miroslav Pavelek
doaj   +1 more source

Model-Free Data-Driven Methods in Mechanics: Material Data Identification and Solvers [PDF]

open access: yes, 2019
This paper presents an integrated model-free data-driven approach to solid mechanics, allowing to perform numerical simulations on structures on the basis of measures of displacement fields on representative samples, without postulating a specific ...
Leygue, Adrien   +2 more
core   +3 more sources

Modelling social identification and helping in evacuation simulation [PDF]

open access: yesSafety Science, 2016
Social scientists have criticised computer models of pedestrian streams for their treatment of psychological crowds as mere aggregations of individuals. Indeed most models for evacuation dynamics use analogies from physics where pedestrians are considered as particles.
Von Sivers, I.   +7 more
openaire   +3 more sources

Assisted Declarative Process Creation from Natural Language Descriptions [PDF]

open access: yes, 2019
In this paper, we report recent advances on user support for declarative process generation from natural language descriptions. The Process Highlighter is a hybrid modelling tool that facilitates the (manual) creation of Dynamic Response Condition (DCR ...
Lopez, Hugo Andres   +3 more
core   +2 more sources

Electronic power steering system – A mechatronic model for simulative analysis of power consumption

open access: yesThe Journal of Engineering, 2019
Dynamic modelling of electronic power steering (EPS) systems is an essential part of vehicle dynamics simulation during the development process in automotive industry. Most of existing models focus on mechanical or driving-comfort issues (i.e.
Nikolaus Reiland   +2 more
doaj   +1 more source

Combining model structure identification and hybrid modelling for photo‐production process predictive simulation and optimisation [PDF]

open access: yesBiotechnology and Bioengineering, 2020
AbstractIntegrating physical knowledge and machine learning is a critical aspect of developing industrially focused digital twins for monitoring, optimisation, and design of microalgal and cyanobacterial photo‐production processes. However, identifying the correct model structure to quantify the complex biological mechanism poses a severe challenge for
Dongda Zhang   +2 more
openaire   +3 more sources

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