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Simulation results demonstrate that this controller is able to provide millimeter-level formation flying accuracy.
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Using a model predictive control does not create adverse geochemical effects in the reservoir; instead, the controller is able to improve the efficiency of the geothermal heat extraction.
Indeed, it is shown in our simulation and experiments that the controller is able to achieve good performance even though no damping is injected into the system.
It can be noted that the controller is able to keep a power factor (hbox {PF}_{3phi }>0.95) and the DPF close to 1.00 under different operation conditions.
According to the circumstances and the predefined policies, the controller is able to send a new collection command whenever it needs.
Nevertheless, the controller is able to guarantee a three phase displacement power factor ((hbox {DPF}_{3phi })) close to 1.00 and the three phase power factor ((hbox {PF}_{3phi })) greater than or equal to 0.95 in all cases.
This non-linear controller is able to compensate non-linear system uncertainties which are not considered in the state feedback pole placement control design combined with fuzzy logic controller, and can tolerate a wider range of uncertainties.
Finally, about 44 minutes into what is usually a 45-minute flight, the controller was able to establish radio contact.
A single controller is able to control both technologies by using multiple interfaces.
Preliminary tests at the boiler system show that the designed controller is able to control the boiler process.
The Action Slicing mechanism neutralizes the vulnerabilities discussed in this paper by controlling which actions a virtual network controller is able to use in its flow rules.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com