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Time delay coordinate system systems

Figure 21. The three-dimensional time delay coordinate systems reconstructed by xn with two different delay times t ((a) i I. /> r — 100). Figure 21. The three-dimensional time delay coordinate systems reconstructed by xn with two different delay times t ((a) i I. /> r — 100).
A set of experiments on gas-liquid motion in a vertical column has been carried out to study its d3mamical behavior. Fluctuations volume fraction of the fluid were indirectly measured as time series. Similar techniques that previous section were used to study the system. Time-delay coordinates were used to reconstruct the underl3ung attractor. The characterization of such attractor was carried out via Lyapunov exponents, Poincare map and spectral analysis. The d3mamical behavior of gas-liquid bubbling flow was interpreted in terms of the interactions between bubbles. An important difference between this study case and former is that gas-liquid column is controlled in open-loop by manipulating the superficial velocity. The gas-liquid has been traditionally studied in the chaos (turbulence) context [24]. [Pg.301]

A simple Michelson interferometer. If we place two mirrors at the end of two orthogonal arms of length L oriented along the x and y directions, a beamsplitter plate at the origin of our coordinate system and send photons in both arms trough the beamsplitter. Photons that were sent simultaneously will return on the beamsplitter with a time delay which will depend on which arm they propagated in. The round trip time difference, measured at the beamsplitter location, between photons that went in the a -arm (a -beam) and photons that went in the y arm (y-beam) is... [Pg.316]

In order to analyze both systems, some techniques from nonlinear science are burrowed. Firstly, a phase portrait is constructed from delay coordinates, a Poincare map is also computed, FFT is exploited to derive a Power Spectrum Density (PSD) Maximum Lyapunov Exponents (MLE) are also calculated from time series. Although we cannot claim chaos, the evidence in this chapter shows the possible chaotic behavior but, mostly important, it exhibits that the oscillatory behavior is intrinsically linked to the controlled systems. The procedures are briefly described before discuss each study case. [Pg.283]

Fig. 6.4.1 [Blul] In imaging with noise excitation the spin density convolved by a localization function can be retrieved by linear cross-correlation of the system response with a function of the space coordinate r = (x, y, z ) and the time delay Fig. 6.4.1 [Blul] In imaging with noise excitation the spin density convolved by a localization function can be retrieved by linear cross-correlation of the system response with a function of the space coordinate r = (x, y, z ) and the time delay <r. Fourier transformation over <t introduces spectroscopic resolution.
Using the transfer function concept, Koppel (1967) derived the optimal control policy for a heat exchanger system described by hyperbolic partial differential equations using the lumped system approach. Koppel and Shih (1968) also presented a feedback interior control for a class of hyperbolic differential equations with distributed control. In an earlier paper Koppel e/ al. (1968) discussed the necessary conditions for the system with linear hyperbolic partial differential equations having a control which is independent of spatial coordinates. The optimal feedback-feedforward control law for linear hyperbolic systems, whose dynamical response to input variations is characterized by an initial pure time delay, was derived by Denn... [Pg.469]

Figures D.3 and D.6 show the responses of frequency in the first one second. Both machines respond in much the same way in the first half second. This is dne to the fact that this part of the response is open loop and is mainly determined by the mechanical inertia and the size of the disturbance, as discussed in Chapter 21 of Reference 1 see also snb-section 2.5 herein. Also shown in these two figures are typical setting levels for underfrequency (81) multi-stage relays. In addition to the setting levels the relays shonld also have time delay settings, so that coordination with other power system equipment can be achieved, e.g. automatic voltage regulators of generators, automatic re-acceleration of induction motors, see also sub-section 7.6 herein. For the settings shown the relays would respond in the range of about 70 to 150 milliseconds, which is typically about half the response... Figures D.3 and D.6 show the responses of frequency in the first one second. Both machines respond in much the same way in the first half second. This is dne to the fact that this part of the response is open loop and is mainly determined by the mechanical inertia and the size of the disturbance, as discussed in Chapter 21 of Reference 1 see also snb-section 2.5 herein. Also shown in these two figures are typical setting levels for underfrequency (81) multi-stage relays. In addition to the setting levels the relays shonld also have time delay settings, so that coordination with other power system equipment can be achieved, e.g. automatic voltage regulators of generators, automatic re-acceleration of induction motors, see also sub-section 7.6 herein. For the settings shown the relays would respond in the range of about 70 to 150 milliseconds, which is typically about half the response...
In [67], Ha extends this work to consider multiple customer classes that differ in their demand, delay costs, and service costs. For an M/G/s processor sharing queue, he shows that a single fee dependent on the time in the system can coordinate the system, and for an M/G/1 FIFO server, coordination can be effected through a pricing scheme that is quadratic in time of service. [Pg.364]

TCSPC with two-dimensional position-sensitive detection can be used to acquire time-resolved images with wide-field illumination. The complete sample is illuminated by the laser and a fluorescence image of the sample is projected on the detector. For each photon, the coordinates in the image area and the time in the laser pulse sequence are determined. These values are used to build up the photon distribution over the image coordinates and the time (see Fig. 3.12, page 40). The technique dates back to the 70s [312] and is described in detail in [262]. Lifetime imaging with a TCSPC wide-field system and its application to GFP-DsRed FRET is described in [162]. A spatially one-dimensional lifetime system based on a delay-line MCP is described in [509]. [Pg.168]

Often, we do not have available a sequence of time series from which the approach to chaos can be discerned. It is then necessary to analyze a single data set. The most useful way to do this is to look at the phase portrait of the system in a multidimensional phase space. Unfortunately, in real chemical systems we almost always have data on just a single variable, such as a concentration. Nature is not always cruel, however, especially when assisted by mathematics. If we have a series of measurements at regular time intervals, a (0> x t + T), x t + 2T),..., we can construct an n-dimensional phase space in which the coordinates are x t), x t + T),..., x tnT). Amazingly, several embedding theorems (Whitney, 1935) guarantee that, for almost every choice of the delay time T, the attractor in the space constructed in this fashion will be topologically equivalent to the attractor in the actual phase space. [Pg.180]


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See also in sourсe #XX -- [ Pg.395 , Pg.396 , Pg.397 ]

See also in sourсe #XX -- [ Pg.395 , Pg.396 , Pg.397 ]




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Coordinate system

Time delay coordinate system

Time delay coordinate system

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