Results 11 to 20 of about 117 (112)

Cerebrospinal fluid dynamics coupled to the global circulation in holistic setting: Mathematical models, numerical methods and applications [PDF]

International Journal for Numerical Methods in Biomedical Engineering, Volume 38, Issue 1, January 2022., 2022
This paper presents a mathematical model of the global, arterio‐venous circulation in the entire human body, coupled to a refined description of the cerebrospinal fluid dynamics in the craniospinal cavity. The improvements concern physiological aspects, underlying mathematical models as well the associated computational methods. A major novelty of this
Eleuterio Francisco Toro, Morena Celant, Qinghui Zhang, Christian Contarino, Nivedita Agarwal, Andreas Linninger, Lucas Omar Müller   +6 more
wiley   +2 more sources

Robust Model-Based Sensor Fault Monitoring System for Nonlinear Systems in Sensor Networks [PDF]

Sensors, 2014
A new model-based sensor fault diagnosis (FD) scheme, using an equivalent model, is developed for a kind of Multiple Inputs Multiple Outputs (MIMO) nonlinear system which fulfills the Lipschitz condition.
Dejun Wang, Shiyao Song
doaj   +2 more sources

Construction of hybrid 1D‐0D networks for efficient and accurate blood flow simulations

International Journal for Numerical Methods in Fluids, Volume 95, Issue 2, Page 262-312, February 2023., 2023
A set of coupling equations to appropriately couple nonlinear 1D and lumped‐parameter (0D) models for blood flow in compliant vessels is defined. Then, a methodology for the high‐order numerical coupling between 1D and 0D vessels through hybrid junctions is proposed.
Beatrice Ghitti, Pablo J. Blanco, Eleuterio F. Toro, Lucas O. Müller   +3 more
wiley   +1 more source

Historical Data, Comparison, and Systematisation. Some Thoughts on the Challenges and Possibilities of Synthesising Historical and Social Scientific Approaches in the Study of Religion

Journal of Religious History, Volume 46, Issue 4, Page 691-706, December 2022., 2022
This article discusses the introductory remarks to this special issue by Mattias Brand, as well as the two articles written by the Mattias Brand and Gerard Wiegers, respectively. It includes my own reflections in the commentary on the three contributions.
Volkhard Krech
wiley   +1 more source

Receptance-based robust eigenstructure assignment [PDF]

Mechanical Systems and Signal Processing, 2020
Abstract The robustness of receptance-based active control techniques to uncertain parameters in fitted transfer function matrices is considered. Variability in assigned closed-loop poles, which arises from uncertain open-loop poles, zeros, and scaling parameters, is quantified by means of analytical sensitivity formulae, which are derived in this ...
Adamson, LJ, Fichera, S, Mottershead, JE
openaire   +1 more source

A flux‐vector splitting scheme for the shallow water equations extended to high‐order on unstructured meshes

International Journal for Numerical Methods in Fluids, Volume 94, Issue 10, Page 1679-1705, October 2022., 2022
We present an advection‐pressure flux‐vector splitting method for the one and two‐dimensional shallow water equations. The resulting first‐order schemes turn out to be exceedingly simple, with accuracy and robustness comparable to that of the sophisticated Godunov upwind methods.
Eleuterio F. Toro, Cristòbal E. Castro, Davide Vanzo, Annunziato Siviglia   +3 more
wiley   +1 more source

Automated Controller Design for the PMSM Using Dynamic Mode Decomposition

IEEE Access, 2022
This work presents a method to automatically generate a high performance controller for the permanent magnet synchronous motor (PMSM). The method consists of two components, a nominal system identification and a harmonic component identification.
Adam Stevens, Iqbal Husain
doaj   +1 more source

[Retracted] Sport Resource Classification Algorithm for Health Promotion Based on Cloud Computing: Rhythmic Gymnastics’ Example

Journal of Environmental and Public Health, Volume 2022, Issue 1, 2022., 2022
In the processing of rhythmic gymnastics resources, there are inefficiency problems such as confusion of teaching resources and lack of individuation. To improve the health access to teaching resource data, such as videos and documents, this study proposes a cloud computing‐based personalized rhythmic gymnastics teaching resource classification ...
Tairan Zhang, Qing Han, Zhenji Zhang, Hye-jin Kim   +3 more
wiley   +1 more source

Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelligence and machine learning.
Fuad S. Alduais, Neveen Sayed-Ahmed, Heng Liu   +2 more
wiley   +1 more source

Revisión de las Técnicas de Asignación de Autoestructuras: Aplicación en Sistemas Aeroespaciales

Revista Iberoamericana de Automática e Informática Industrial RIAI, 2014
Resumen: Las técnicas de asignación de autoestructuras (Eigenstructure Assignment – EA) han sido aplicadas con éxito al diseño de controladores en diferentes sectores industriales durante las últimas décadas.
J. Crespo, J. Aranda
doaj   +1 more source