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Therefore, the AIS can be applied to solve other complex identification problems of fuel cell models.
Monte-Carlo simulation (MCS) method is a robust and effective random simulation technique for the dynamic load identification problems of stochastic structures.
Several ships examined show a poor system performance with a course control derived from these models besides parameter identification problems of adaptive control concepts.
But it is difficult to get high accuracy in dealing with the identification problems of natural geological samples, which are usually composed of similar elements and mixed with minor impurity constituents.
The numerical results, presently obtained via EnKF-like simulations with or without a reduced-rank unscented transformation, clearly indicate remarkably superior filter convergence and accuracy vis-à-vis most available filtering schemes and eminent applicability of the methods to higher dimensional dynamic system identification problems of engineering interest.
Although these theoretical methods exhibit deep structural properties, they have been shown to be tractable only for decoding and functional identification problems of small dimensions.
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This last one is used to solve the parameters identification problem of Li-ion battery model.
This new technique has been tested recently on a noise source identification problem of practical interest.
This paper addresses the identification problem of time-delay linear continuous-time systems.
This allows us to overcome the identification problem of endogenous educational attainment.
The numerical identification problem of minimizing the errors between the experimental and the analytical results leads to two optimization problems.
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