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Optimization results on a custom benchmark are presented as examples.
Thereafter, the Big Data forecasting concept and the conducted benchmark are presented.
The experimental results on a three tank benchmark are presented and discussed.
Some experimental results, obtained with a nonlinear system (the three tank benchmark) are presented, showing the controller performance.
Simulation results for HL-20 model and results of experiments with the "LAAS Helicopter Benchmark" are presented, showing efficiency and fault-tolerance of the proposed method.
In this paper new solutions for the (UO2 + Gd) and (UO2 + PuO2 + Gd) fuel assemblies proposed within the "OECD VVER-1000 Burnup Computational Benchmark" are presented, these being representative of the designs which are expected to be used in the plutonium disposition mission.
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Also, a complexity comparison using coding time as benchmark was presented.
The definition of the benchmark is presented briefly together with the benchmark specifications.
A typical application of this benchmark is presented in terms of non-linear control of the rotational dynamics.
This benchmark is presented as an educational platform to reinforce control education as well as to show the participants the kind of problems that a control engineer could face.
Finally, a short benchmark is presented over 4 selected RNA motifs from Rfam.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com