Sentence examples for implement a feedback from inspiring English sources

Exact(7)

We wanted to attempt at a project where we could implement a feedback controller with a microcontroller.

We implement a feedback control strategy with the switching time as a manipulated variable to ensure the stability of temperature wave trains.

Since our ideal detection speed is in the range of 5 to 7 mph, it was necessary to implement a feedback control system to monitor and adjust its speed on the track.

This device was designed to automatically adjust light intensity in a photobioreactor: it takes on-line measurements of biomass concentration, and was successfully tested to implement a feedback control of light based on the growth rate variation.

We deal with the following problem: how to implement a feedback controller on a CPU, with variable computation time, on a CPU that is shared with other tasks so that (1) the task satisfies its Quality of Control (QoC) requirements, (2) the CPU can be efficiently managed to host other concurrent activities.

Apart from the inherent iterative nature of the TXRA and DSRA configuration selection schemes, allowing configuration changes in the receive side only has another positive outcome: it removes the requirement of having to implement a feedback loop from the receiver to the transmitter, which communicates the configuration which it should be using.

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Similar(53)

The second one implements a feedback circuitry to balance the Wheatstone bridge through its biasing.

First, we implemented a feedback (proportional integral PI) controller in order to correct asymmetric locomotor patterns and excessive abduction (Fig. 5).

One system involves implementing a feedback control approach, while the other involves applying a feedforward-feedback control structure.

We implemented a feedback system that detected theta2 in real-time to control a green laser to optogenetically inhibit OLMα2 cells when animals were moving (Fig. 8a, Supplementary Fig. 15a).

The design basically consists of an adaptive neural controller which implements a feedback linearization control law for a generic manipulator with unknown parameters, and a sliding-mode control which robustifies the design and compensates for the neural approximation errors.

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