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Identification of airway characteristics using the input impedance

Journal of Mechanical Science and Technology, 2008
To understand how the input impedance determined at the throat correlates with changes in the dynamic characteristics of the airways, a simplified 5-lobe model is developed and simulated. The model takes into account some realistic conditions such as varying cross-sectional areas, flexible wall properties and branching. The lobe terminal impedances are
S. H. Cheong   +3 more
openaire   +1 more source

Identification of the Mechanical Impedance of Human Fingers

Dynamic Systems and Control: Volume 1 — Control Theory/Methodology; Robust Control; Applied Nonlinear Control Systems; QFT Designs in Industrial, Government, Academic Settings; Robot Control; Impedance Planning for Robotics; Haptic Interfaces for Virtual Environment/Teleoperator Systems; Intelligent Control Systems; Intelligent Process Control; Neural Networks, 1994
Abstract Transients were applied to the outstretched human index finger to determine its mechanical impedance. A second order linear model was fit to the force and displacement data for flexion-extension of the metacarpophalangeal joint.
Aram Z. Hajian, Robert D. Howe
openaire   +1 more source

Fractional-Order Impedance Identification for Inductors

Progress in Fractional Differentiation and Applications, 2022
openaire   +1 more source

Outlier Identification in Impedance-based SHM

Procceedings of the 24th ABCM International Congress of Mechanicl Engineering, 2017
Bruno Pereira Barella   +3 more
openaire   +1 more source

Time-Varying Ankle Impedance Identification During Locomotion

2019
The human neuromuscular system behaves as an optimal controller and during locomotion it constantly regulates the mechanical properties of the lower limbs, resulting in a change of joint impedance. Therefore, a model of joint impedance during locomotion can provide a reference to mimic for the design of natural-looking bionic lower limbs devices [1 ...
openaire   +1 more source

Physics-Informed Neural Network Based Online Impedance Identification of Voltage Source Converters

IEEE Transactions on Industrial Electronics, 2023
Mengfan Zhang, Qianwen Xu, Xiongfei Wang
exaly  

An Impedance Model-Based Multiparameter Identification Method of PMSM for Both Offline and Online Conditions

IEEE Transactions on Power Electronics, 2021
Qiwei Wang, Gaolin Wang, Nannan Zhao
exaly  

DQ-Frame Impedance Measurement of Three-Phase Converters Using Time-Domain MIMO Parametric Identification

IEEE Transactions on Power Electronics, 2021
Hong Gong, Xiongfei Wang, Dongsheng Yang
exaly  

Quantitative comparison of time-varying system identification methods to describe human joint impedance

Annual Reviews in Control, 2021
Mark van de Ruit   +2 more
exaly  

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