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Then, the developed model identification procedure, supported in a robust optimization algorithm, is presented.
The model identification procedure on the basis of cyclic tension/compression tests combined with inverse analysis is described first.
The reliability assessment procedure, which considers a probabilistic model for the structure in analysis, is then introduced, incorporating the results of the model identification procedure.
This paper describes a model identification procedure for identifying an electro-thermal model of lithium ion batteries used in automotive applications.
However, the effectiveness of the model identification procedure is strictly related to the execution of properly designed experiments, allowing elucidation of the reaction mechanisms and providing a precise estimation of the kinetic parameters.
Given a model identification procedure able to give accurate output system estimates, e.g. a neural network approximation, we use another feedforward neural network to generate at each time step a constrained optimal control.
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The parameters of the models identification procedure was based on the Genetic Algorithms which were coded in Maple®15 software.
Expression of semantic entities in terms of syntactic properties is modelled with appropriately defined finite automata, which also model the identification procedure.
This paper presents the modeling and identification procedure for a VVER-type pressurized water reactor.
Each of these components are unknown functions of the angular displacement and/or pressures in the actuator chambers which makes the modeling and identification procedure different as well as more complex than the one commonly performed for a "conventional" hydraulic actuator (a single vane motor in this case).
This paper presents a new kinematic model, a parameter identification procedure and a sensitivity analysis of a laser tracker having the beam source in the rotating head.
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