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Although the MZT method shows fast convergence rate, it suffers from performance degradation mainly due to the sidelobe elevation.
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The multi-loop PI controller designed by the proposed method shows a fast, well-balanced, and robust response with the minimum integral absolute error (IAE).
It shows fast sol-gel method is promising in synthesize stable Li3VO4 for EV or HEV applications.
Numerical applications show the performance of the proposed models in lifetime assessment under uncertainties, where the direct method has shown faster convergence than response surface method.
The scheme is proven and analysed by means of a laboratory experiment, a noise analysis and a comparison against other existing methods, where the proposed method shows accurate results with fast convergence rates.
Predictions are compared with the results of Genetic Algorithm (GA) method and show faster and more accurate convergence to the global optimum, while variables are continuous in GBNM and discrete in GA.
There is an excellent agreement between the results from both approaches but the superposition method has shown faster convergence and the results may serve as benchmarks for the transient response of completely free plates.
The new method shows higher precision and faster convergent rate.
Compared with other diagnosis methods, the proposed method shows better performance and faster computing speed.
Analysis of the proposed multirate method shows how the coupling between fast and slow components affects the numerical stability of the method.
MALDI-TOF MS is a fast method showing promising results and might supplant the traditional phenotypic methods in the future as these tests alone or in combination are less powerful and particularly not satisfying for the identification of Strep.
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