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Upper bounds are developed for mode truncation errors in the model reduction process and modal cost analysis dictates which modes to retain in order to reduce the model for control design purposes.
It has the characteristic that all factors are interdependent due to the convention that the total sum of the mixture components has to sum to 100% or 1. Model reduction: Process of model analysis and evaluation to reach a reduced model that describes the significant effects on the response.
In the first strategy, which eschews a model reduction process, the neural network controller is designed and trained to have the dual functions of controller and observer, so that the resulting neuro-controller is able to perform the clipped linear quadratic Gaussian (LQG) control with incomplete state observation.
The model reduction process just described is illustrated in Figure 6.
In preliminary analyses lipidic factors were invariably eliminated during the model reduction process.
Since deletion of a sixth complex leads to the error integral exceeding 0.1 in value, we stop the model reduction process after deletion of five complexes.
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The latter is employed to demonstrate model reduction and process optimization.
Given that progressing from simple to more complex requires deep knowledge of the particular system, we reverse the process and we consider chains of models generated by model reduction; in this process we use the additional requirement that model simplification may be expressed in a structural sense that may allow study of evolution of system properties.
Projection operators are employed for the model reduction or condensation process.
Model reduction is a process of approximating higher order original models by comparatively lower order models with reasonable accuracy in order to provide ease in design, modeling and simulation for large complex systems.
In the end, the model for this reduction process has been given on the basis of the pictures of reduced TiO2 film and the electronic energy band structure models.
More suggestions(15)
model building process
model structure process
model budget process
model estimation process
model extension process
model selection process
model generation process
model construction process
model design process
model calibration process
model development process
model approximation process
model training process
model identification process
model reconstruction process
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