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Curve feedback

This completes the design of the feedback loop compensation elements, and the error amplifier curves and the overall plots are also included in Figure 3-66. This also completes the design of the major portions of the switching power supply. The schematic is shown in Figure 3-67. [Pg.112]

As the second step, the STM tip was locked over the desired particle, feedback was temporally switched off, and voltage-current (V-I) characteristics were measured. The typical trend of the V-I characteristics is shown in Figure 29. Current steps are clearly observable in the presented curve, indicating that the single-electron junction was formed. It is worth mentioning that the characteristics observed in areas without particles demonstrate a normal tunneling behavior (see Fig. 30). [Pg.178]

Figure 9-4. Sites of feedback inhibition in a branched biosynthetic pathway. Si-Sj are intermediates in the biosynthesis of end products A-D. Straight arrows represent enzymes catalyzing the indicated conversions. Curved arrows represent feedback loops and indicate sites of feedback inhibition by specific end products. Figure 9-4. Sites of feedback inhibition in a branched biosynthetic pathway. Si-Sj are intermediates in the biosynthesis of end products A-D. Straight arrows represent enzymes catalyzing the indicated conversions. Curved arrows represent feedback loops and indicate sites of feedback inhibition by specific end products.
Figure 9-5. Multiple feedback inhibition in a branched biosynthetic pathway. Superimposed on simple feedback loops (dashed, curved arrows) are multiple feedback loops (solid, curved arrows) that regulate enzymes common to biosynthesis of several end products. Figure 9-5. Multiple feedback inhibition in a branched biosynthetic pathway. Superimposed on simple feedback loops (dashed, curved arrows) are multiple feedback loops (solid, curved arrows) that regulate enzymes common to biosynthesis of several end products.
The effect on the normalized approach curves of allowing to take finite values is illustrated in Fig. 5, which shows simulated data for three rate constants, for redox couples characterized by y = 1. The rate parameters considered K = 100 (A), 10 (B), and 1 (C), are typical of the upper, medium, and lower constants that might be encountered in feedback measurements at liquid-liquid interfaces. In each case, values of = 1000 or 100 yield approach curves which are identical to the constant-composition model [44,47,48]. This behavior is expected, since the relatively high concentration of Red2 compared to Red] ensures that the concentration of Red2 adjacent to the liquid-liquid interface is maintained close to the bulk solution value, even when the interfacial redox process is driven at a fast rate. [Pg.300]

Fig. 3. 2D evolution for the open system described in Fig. 2. The temporal development of total galactic mass (a) and 2D thin disk abundance (by mass) (b) for a set of open stochastic accretion models with primordial gas accreted. From the top to the bottom the curves refer to 44%, 10%, 5%, 1% and no mass added. As shown, the early time development of deuterium is dominated by astration, while the later history (post-star forming peak) is controlled by the infall rate and feedback to the maintenance of the star formation. Fig. 3. 2D evolution for the open system described in Fig. 2. The temporal development of total galactic mass (a) and 2D thin disk abundance (by mass) (b) for a set of open stochastic accretion models with primordial gas accreted. From the top to the bottom the curves refer to 44%, 10%, 5%, 1% and no mass added. As shown, the early time development of deuterium is dominated by astration, while the later history (post-star forming peak) is controlled by the infall rate and feedback to the maintenance of the star formation.
TES suffer from some limitations such as the small useful temperature range and the non-linearity of the transition curve. The latter drawback is especially evident in roughly patterned TES, as in the case shown in Fig. 15.5 [25], Feedback techniques, similar to those used in electronic amplifiers, minimize these drawback, reducing also the TES time response [26], The superconducting transition temperature (sometimes quite different from those of the bulk metal) of a TES made with one metal layer (single layer) depends on the metal used and on the film thickness. [Pg.329]

Figure 3. Feedback cooling in cavity QED Evolution of the mean atomic effective energy, with no cooling (top curve), cooling based on direct feedback of the photocurrent signal (middle), cooling based on feedback with a simple Gaussian state estimator (bottom). Note the improved cooling efficiency in the second case. Figure 3. Feedback cooling in cavity QED Evolution of the mean atomic effective energy, with no cooling (top curve), cooling based on direct feedback of the photocurrent signal (middle), cooling based on feedback with a simple Gaussian state estimator (bottom). Note the improved cooling efficiency in the second case.
Sample and reference crucibles with separate heaters. Thermocouples with feedback to sample heater so that the power is varied to maintain AT= 0. Data output equipment to provide AE vs temperature curves, derivative curves and peak integration. Facility to vary atmosphere of sample. [Pg.490]

If we want to run the reactor at the steadystate temperature %, the heat-removal curve must be modified by changing the parameters of the system (or by adding a feedback controller, as we will show in the next part of this book) to make the Qn curve intersect the Qq curve at 7 with a slope greater than (dQJdT r ) as sketched in Fig. 6.9c. [Pg.198]

Note the very unique shape of the log modulus curves in Fig. 12.19. The lower the damping coefficient, the higher the peak in the L curve. A damping coefficient of about 0.4 gives a peak of about +2 dB, We will use this property extensively in our tuning of feedback controllers. We will adjust the controller gain to give a maximum peak of +2 dB in the log modulus curve for the closedloop servo transfer function X/X. ... [Pg.434]

In most systems, the closedloop servo log modulus curves move out to higher frequencies as the gain of the feedback controller is increased. This is desirable since it means a faster closedloop system. Remember, the breakpoint frequency is the reciprocal of the closedloop time constant. [Pg.474]

The tuning and/or structure of the feedback controller matrix is changed until the minimum dip in the curve is something reasonable. Doyle and Stein gave no definite recommendations, but a value of about — 12 dB seems to give good results. [Pg.586]

Once such detail is available it is possible to scan in the perpendicular direction in reciprocal space, using a scan, to measure the tilt independently of the strain. This is shown in Figure 7.5(c), in which the analyser was set on the prominent left-hand peak in the triple-crystal curve. The tilt variation in this layer is seen to be about 1500. Similar measurements on other peaks and correlation with crystal growth parameters can provide excellent feedback to the crystal grower. [Pg.164]


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See also in sourсe #XX -- [ Pg.317 , Pg.318 , Pg.321 ]




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Feedback approach curve

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