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One motivation for systems with time-dependent dimensions is efficient control law synthesis for discrete-time systems with asynchronous inputs, for which a novel modeling framework resulting in low dimensional models is proposed.
One of the main advantages of using dimensional models is that they allow us to continuously visualize what is happening in both solid and liquid phases, facilitating the understanding of the overall mass transfer process.
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CFD simulation of three dimensional models was performed to achieve this objective.
One dimensional models were developed for direct and indirect cooling NDDCTs.
All regression weights of the dimensional models were significantly different from zero (P < 0.001).
Initially, dimensional models were built using multivariable logistic regression analyses of all study variables within each of the seven dimensions simultaneously entered into individual models.
A one dimensional model is considered.
A simplified two dimensional model is also applied and the results obtained are not so satisfactory.
A three dimensional model is used for better reproduction of the complex topography and heterogeneity of the watershed.
The Visual Computing Lab's open-source software for creating and viewing three-dimensional models is widely used in cultural heritage computing.
An approach for the optimal transition control of diffusion-convection- reaction processes based on finite-dimensional models is presented.
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