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To avoid the influence of the motor's nonlinearity on the speed control performance, a control parameters' on-line self-tuning strategy utilizing the gain of the model is designed.
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This supports the possibility, to test and measure the performance of a control operation while the device is connected to the system.
The present paper presents methods for comparing a patient's performance with a control or normative sample when performance is expressed as slope.
To alleviate potential stability issues and increase control performance, an adaptive control design is proposed together with a communication network state estimation algorithm.
This study shows that the performance of a control strategy depends on how the SFE process is decomposed and how the performance specifications are posed in each subsystem.
In order to elucidate the behavioral mechanisms underlying this deficit, the performance of an animal model of ADHD, the spontaneously hypertensive rat (SHR), was compared against the performance of a control strain, the Wistar-Kyoto rat (WKY) during extinction.
By combining different control methods, we can obtain a desired performance in a control system.
These uncertainties can reduce the performance of a control algorithm significantly and possibly make it unstable.
The performance of a control system depends on its design and implementation.
The common methods for defining the performance of a control system are described.
Samples containing OW or OOW were found to be comparable in extrusion performance to a control product that used FW.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com