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As in [12], where a different set of BCs were investigated, we point out that these nonlocal boundary conditions can be interpreted as feedback controls: for example, the BCs (4.1) can be seen as a control on the displacement at the left end and a device handling the shear force at.
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First, it is analyzed how the unconstrained GPC algorithm with implicit disturbance compensation can be interpreted as a typical feedback plus feedforward control scheme, where the main feature is that the feedforward action includes future estimations of the measurable disturbances.
This algorithm can be interpreted as a decision feedback equalizer (DFE), driven by the aforementioned criteria.
The control system in Fig. 21 can be interpreted as a force feedback control system between the pushing force of the user and the propulsion of the prototype robotic cart.
Firstly, Sampson (2012), claims, "the experimental group were able to locate and correct their own errors slightly more successfully…than the control group… This small difference could be interpreted as suggesting coded feedback is slightly more successful at developing receptive awareness of correct forms than uncoded correction" (p. 499).
This could be interpreted as a negative feedback loop for the effector function of CD134+ cells but the detailed mechanisms remain unclear.
The Hill coefficient n can be interpreted as the sensitivity of the feedback loop.
However, their willingness to complete follow-up questionnaires 6 months after completed treatment may be interpreted as a wish to give feedback about the treatment they received.
The surprising impact of constitutive activation of GNA1 on transcription of gna1 could be interpreted as a carbon source-dependent feedback cycle, which can define the significance of the GNA1 signal(s) under certain conditions by regulating its abundance, although a potential effect of both stability and activation of GNA1 must be kept in mind.
This can be interpreted as increase of extrinsic tenase activation feedback speed, which allows to sufficiently neglect influence of flow on the system.
It is shown that the obtained error feedback regulator can be interpreted as multivariable PFD regulator.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com