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Browsing by Subject "Parameter identification"

Now showing items 1-11 of 11

3D inertia transfer concept and symbolic determination of the base inertial parameters

Ros, Javier; Iriarte, Xabier; Mata Amela, Vicente (Elsevier, 2012)

[EN] A new and simple symbolic/geometric procedure to obtain the base inertial parameters of general mechanisms is presented. The procedure is based on: 1) the concept of low mobility of bodies with respect to the Inertial ...
An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Hendrikus Johannes W; Li, Liangping (ELSEVIER SCI LTD, 2011)

[EN] The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...
Controller-observer design and dynamic parameter identification for model-based control of an electromechanical lower-limb rehabilitation system

Valera Fernández, Ángel; Díaz-Rodríguez, Miguel; Vallés Miquel, Marina; Oliver, E.; Mata Amela, Vicente; Page Del Pozo, Alvaro Felipe (Taylor & Francis, 2017)

[EN] Rehabilitation is a hazardous task for a mechanical system, since the device has to interact with the human extremities without the hands-on experience the physiotherapist acquires over time. A gap needs to be filled ...
Drive Force and Longitudinal Dynamics Estimation in Heavy-Duty Vehicles

Girbés, Vicent; Hernández, Daniel; Armesto, Leopoldo; Dols Ruiz, Juan Francisco; Sala, Antonio (MDPI AG, 2019-08-11)

[EN] Modelling the dynamic behaviour of heavy vehicles, such as buses or trucks, can be very useful for driving simulation and training, autonomous driving, crash analysis, etc. However, dynamic modelling of a vehicle is ...
Estimación adaptable de estados en un edificio de marco plano equipado con un amortiguador magneto-reológico

Jiménez-Fabián, René; Alvarez-Icaza, Luis (Universitat Politècnica de València, 2008-01-24)

[EN] An adaptive observer for a shear building with a magneto-rheological damper is presented. This observer is able to reconstruct the structural parameters and absolute storey displacements and velocities using measurements ...
Inverse Methods in Hydrogeology: Evolution and Recent Trends

Zhou, Haiyan; Gómez-Hernández, J. Jaime; Li, Liangping (Elsevier, 2014-01)

[EN] Parameter identification is an essential step in constructing a groundwater model. The process of recognizing model parameter values by conditioning on observed data of the state variable is referred to as the inverse ...
Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms

Ariza-Chacón, Helbert Eduardo; Banguero-Palacios, Edison; Correcher Salvador, Antonio; Pérez-Navarro, Ángel; Morant Anglada, Francisco José (MDPI AG, 2018)

[EN] Accurate and efficient battery modeling is essential to maximize the performance of isolated energy systems and to extend battery lifetime. This paper proposes a battery model that represents the charging and discharging ...
Multiobjective Identification of a Feedback Synthetic Gene Circuit

Boada-Acosta, Yadira Fernanda; Vignoni, Alejandro; Picó, Jesús (Institute of Electrical and Electronics Engineers, 2020-01)

[EN] Kinetic (i.e., dynamic) semimechanistic models based on the first principles are particularly important in systems and synthetic biology since they can explain and predict the functional behavior that emerges from the ...
Parameter Identification in Synthetic Biological Circuits Using Multi-Objective Optimization

Boada-Acosta, Yadira Fernanda; Vignoni, Alejandro; Reynoso Meza, Gilberto; Picó, Jesús (Elsevier, 2016)

[EN] Synthetic biology exploits the of mathematical modeling of synthetic circuits both to predict the behavior of the designed synthetic devices, and to help on the selection of their biological coin portents. The increasing ...
Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Zhou, Haiyan; Li, Liangping; Hendricks Franssen, Harrie-Jan; Gómez-Hernández, J. Jaime (Springer Verlag (Germany), 2012-02)

The ensemble Kalman filter (EnKF) is now widely used in diverse disciplines to estimate model parameters and update model states by integrating observed data. The EnKF is known to perform optimally only for multi-Gaussian ...
Stochastic Inverse Methods to Identify non-Gaussian Model Parameters in Heterogeneous Aquifers

Zhou ., Haiyan (Universitat Politècnica de València, 2011-10-21)

La modelación numérica del flujo de agua subterránea y del transporte de masa se está convirtiendo en un criterio de referencia en la actualidad para la evaluación de recursos hídricos y la protección del medio ambiente. ...