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The controller is based on sensory feedback and modifies the reference walking pattern in real time in order to stabilize the robot.
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On the occurrence of such events, the controller modifies the references sent from the local station to the remote robot in order to improve performance and operation safety.
These results lead up to modify the reference scenario in order to take into account human factor components for road lighting design.
The distinctive feature of the proposed approach is that the two controllers have the same parameters and the reference tracking performance is improved by suitably modifying the reference signal applied to the set-point following controller.
However, feedforward design techniques also have a large part to play, whereby (in the absence of feedback control and assuming that the plant is stable) a model of the plant dynamics can be used to modify the reference signal so that the resultant feedforward input signal generates a plant output signal that is sufficiently close to the original reference signal.
Aircraft control is achieved by means of a proportional-integral (PI) controller and the instrumental landing system – the first phase of landing (the glide slope) and a proportional-integral-derivative (PID) controller together with a radio-altimeter – the second phase of landing (the flare); both controllers modify the reference model associated with aircraft pitch angle.
To solve the problem of inaccurate power distribution of DGs and low operating costs, we propose an improved economic droop control strategy based on distributed algorithm, in which the second-level optimization control is added to iteratively modify the reference voltage and frequency in the droop control.
Compared to that technique [21, 22], the SI generation proposed in this paper is less complex, and does not modify the reference or the motion vector.
As we are working with the assumption of constant pressure, when modifying the external temperature we modify the reference values T r and ρ r (see Table 1).
As the process unfolds, steering institutions may learn not only how to modify the reference variables, but also the efficacy of the signal generation process.
Fresh concretes containing 20%, 40%, and 60% fly ash as cement replacement in mass basis were prepared by modifying the reference Portland cement concrete.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com