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In this paper, a knowledge-based modeling approach, PAM (disruption-handling Policies, local search Algorithms and object-oriented Modeling), is developed, which combines the scheduling knowledge of experienced schedulers with the optimization knowledge concerning models and algorithms in the field of Operations Research to obtain an effective solution in real time.
A new data-based method for nonlinear process modeling is developed in this paper.
The mathematical modeling is developed and the experimental results verify the validity of the proposed controller.
A prototype simulation system that reflects the multi-level driving-decision process modeling is developed and implemented.
The modeling is developed with reference to the observed sub-domain in which the experimental boundary conditions are prescribed.
The coupled optical and electrical modeling is developed to explore the working principle of the perovskite solar cells.
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A mathematical model is developed.
A semi-theoretical model is developed.
A unified swelling-adsorption model is developed.
Residual stress model is developed using Finite Element Simulation.
Steam generator model is developed in RELAP5/Mod 4.0.
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