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Last, numerical simulations are made to support our theoretical results, including the comparison of models' stability analysis, the influence of model type and signal control on CO2 emissions.
The purpose of study 2 is to look into the differences between the two models, particularly with regards to the models' stability and the ability to interpret the concept of face.
Theoretical models stability was evaluated by average root mean square deviation (rmsd)/time graph and by overall stereochemical and energy quality.
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Though, MI is not yet frequently used in predictive modelling and model stability is hardly ever accounted for in MI approaches.
Model stability tests indicate that the VAR parameters are stable over time.
However, model stability has been by far the most important property to be studied [11 17].
Modeling, stability analysis and dynamic characteristics of this pitch control system are also presented.
The model stability was validated using a nonparametric bootstrap (100 samples with replacement).
The result of both the CUSUM and the CUSUMsq are shown in Figs. 2 and 3. Fig. 2 Model stability test of cumulative sum residuals Fig. 3 Model stability test of cumulative sum of squares residuals.
This provides information regarding the required minimum duration of model simulation for attaining the model stability.
A detailed analysis that encompasses steady state analysis, dynamic modelling, stability analysis, control and experimental results are provided.
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