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Considering the fact that the optimization is online, simulation results show very good effectiveness of the presented technique in controlling chaos.
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As shown in Fig. 3 A (dark continuous line/ blue online), the simulation results can be reproduced by the SB model.
This study proposes a method of interactive plant simulation modeling which delivers the online simulated results to the field operators and induces them to take proper actions in the case of pre-identified accident scenarios in a chemical plant.
The simulation results show that our online algorithms have far better performance than conventional ones.
Simulation results show that the online estimator can operate against the measurement noise, and the sliding controller can keep relevant outputs within their limits despite slow-response sensors.
A growing number of these simulation results are being made available online, in the Coarse-Grained database (CGDB, http://sbcb.bioch.ox.ac.uk/cgdb/).ac.uk/cgdb/
The simulation results indicates that our approach is suitable for online applications, since an optimal solution can be found in reduced times.
These different approaches to assessing recombination probability did not significantly alter simulation results (supplementary fig. S1 A, Supplementary Material online).
Based on a self-determination theory framework, we present the results of a randomized controlled study that used an online simulation environment.
Simulation results demonstrate the successfulness and effectiveness of the Online-SAMBA Fuzzy PI (MBFPI) controller and its superiority over conventional approaches.
The simulation results on natural images demonstrate the effectiveness of the suggested online algorithm compared with the existing methods.
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