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Two case studies including a simple simulation and the Tennessee Eastman (TE) process are employed to evaluate the process monitoring performance of the proposed method.
Consequently, FPGA-based prototypes could be efficiently exploited for motion control applications to permit an easy modification of the advanced control algorithms through short-design cycles, simple simulation, and rapid verification.
Practiced verification methods in most cases are still simple simulation and testing.
While simple simulation and testing provide a part of the possible results of a model, model checking can conduct an exhaustive exploration of all possible behaviors [ 1- 4].
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Simple simulations and a more advanced semi-theoretical analysis were performed, with proteins being treated as ideal polyelectrolyte polymers.
This process would produce long branches that were less underestimated than expected from simple simulations, and short branches that were more underestimated.
The challenge in the studied floating production storage and offloading (FPSO) process was to find an appropriate design between a simple simulation model and a sophisticated virtual process for the operator training and automation design validation.
The feasibility and validity of the MMP-based process monitoring scheme are investigated through two case studies: a simple simulation process and the Tennessee Eastman process.
We verified this empirically using a simple simulation, sampling and combining multiple observations from uniform distributions over 1000 permutations.
By combining these two numerical simulation methods and adopting a rigorous, simple, and complete design process, this study provides a graphical and simple simulation technique to reduce the required learning time and professional threshold for research and applications of LPG.
We used a slab geometry with multiple spatial resolutions and LS; this simple simulation had two compartments (liver and lung) shown in Fig. 2 and does not use patient data.
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