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Among the factors, only a small subset of them can be controlled in simulation study.
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The carbon emission rate is controlled in the simulation by varying the water gas shift steam consumption and the lean amine circulation rate.
The first iteration of numerical diffusion in simulations was controlled by wind stress, and transient (every 10 min) wind data were used.
In this paper, boundary conditions in the backward simulation are controlled by altering the time of boundary node separating from dies.
Then, we calculated the true positive rate (TPR) and the false discovery rate (FDR) based on the miRNAs which were controlled as truly differentially expressed in the simulations.
The accuracy of the full field simulations is well controlled in the linear elastic regime and for small strain.
The potential of the new element and the control technique were checked in simulations including sphere fracture in composites made up of random distribution of elastic spheres within an elasto-plastic matrix.
The effectiveness of the control model was studied in simulation with several scenarios for reducing energy wastage and controlling overall consumption.
The overall multi-agent control approach was tested in simulation with two case studies: optimization of a chilled water cooling plant and optimal control of a direct-expansion (DX) air-conditioning system serving a multi-zone building.
Finally, the control scheme is demonstrated in simulation.
The control law is implemented in simulation using a lookup table and its effectiveness is demonstrated.
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