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Companion model

Equations (24.22) and (24.24) define a linear system by which the state differences are driven by parameter variations about their optimal value, and we name this the companion model . The properties of this companion model will clearly depend on Jx and J,. A controllability test will show whether all the elements of the 0 vector can be influenced by variations in the a vector. Provided that the system is controllable, then it should be possible to drive 0 to any transient desired, in the absence of limits on the amplitude or frequency of variation of a. [Pg.311]

The outputs, if, of the companion model may be related to the error between the distorted model and the plant by the following steps ... [Pg.311]

Thus when a = 0, then if = 0 and hence e(t) = emin(f)-However driving the companion model with model-matching parameter variations, a (t), will cause Y(r) = z(t), and hence e(t) = z(t) - Y(t) = 0. Accordingly,... [Pg.311]

Known results from control theory give the transfer function matrix for the companion model in terms of the model s matrices, Ji, Jx and C, as ... [Pg.312]

Let us make the usual assumption that the range of frequencies generated by the variable in controlling the Y vector to match the z vector may be represented by filtered white noise. By this condition we are assuming implicitly that the parameter varies randomly about a central value (a p,j) and that the parameter variation has a limited bandwidth. We envisage the companion model being excited as in Figure 24.3. [Pg.313]

White noise of intensity 4> is filtered to produce a signal Uj of variance This signal is used to drive the companion model to produce the signal which has variance oj, -. [Pg.313]

Figure 24.3 Companion model being excited by filtered white noise. Figure 24.3 Companion model being excited by filtered white noise.
Companion Web Site accompanies Molecular Modelling inciples and Applications, Second Edition by Andrew Leach... [Pg.12]

I have tried to remain true to my original brief, and produce a readable text for the more advanced consumer of molecular structure theory. The companion book Chemical Modelling from Atoms to Liquids (John Wiley Sons Ltd, Chichester, 1999) is more suitable for beginners. [Pg.353]

We have added a companion option to PBUILD, PRANDOM which eases considerably the problem of finding good conformations of a polymer segment. PRANDOM automatically selects all of the polymer backbone and/or side chain bonds and will randomly select rotations for each bond. In a few minutes, one can not only build a polymer fragment, but also set up a Monte-Carlo search of its conformational space. However, even this cannot solve the problems for large models (pentamer or larger), again due to the number of bonds to be rotated. [Pg.34]

Another possibility might be that the nucleosynthesis of the donor star is affected by the presence of a close companion. In fact, Herwig et al. (2004) recently noted that the most extreme abundance patterns among CEMP-s are found among short period binaries. Hence, the comparison of the CEMP-s with models of single AGB star nucleosynthesis might not appropriate. [Pg.145]

If one of the stars in the binary is not a neutron star, then the tests become less precise. Suppose that one observes the optical light from the companion to a neutron star. In addition to the spectral information that allows measurement of P and i i, one also has photometric information (e.g., the total optical flux from the companion). The companion is distorted into a pear shape by the gravity of the neutron star, with the point towards the neutron star. Therefore, from the side there is more projected area and hence greater flux than from either end. If the orbit is edge-on (i = 90°) then the flux varies maximally if the orbit is face-on (i = 0°) then there is no variation. Therefore, by modeling the system one can estimate the inclination from the flux variations. This is called the method of ellipsoidal light curves (Avni Bahcall 1975). [Pg.33]

As a concluding remark of this section, the theoretical models of nucleosynthesis within stars show that the isotopic compositions of the elements are highly variable depending on star size, metallicity, companion s presence. From the isotopic data obtained in diverse solar system materials it turns out that most of this material was highly homogenized in the interstellar medium or by the formation of the solar system. The presence of isotopic anomalies preserved in some primitive materials are the last witnesses of the initial diversity of the materials constituting our planetary system. [Pg.30]

Depth profiles of (a) salinity (%o), (b) dissolved oxygen (ml /L), and (c) percent saturation of dissolved oxygen in the Southeastern Atlantic Ocean (9°30 W 11°20 S). Samples were collected in March 1994. Dotted lines represent the curves generated by the one-dimensional advection-diffusion model (see text for details). The values of Dz, Vz, and J are the ones that best fit the data. Data are from Java Ocean Atlas (http /odf.ucsd.edu/joa). Values of percent saturation of oxygen less than 100 reflect the effects of aerobic respiration. Values greater than 100 indicate a net input, such as from photosynthesis. (See companion website for color version.)... [Pg.100]

Among the latter were an English couple my own age. They were self-consciously fascinating. He was thin and blonde, with an aquiline nose and an arch manner typical of the model product of the British public school system. He was haughty and urbane, but eccentric and often hilarious. She was small and unhealthily thin— scrawny is the word I used to describe her to myself Red-haired, wild-tempered, and cynical, she, like her companion, possessed a razor wit. [Pg.53]

Scheme 1 summarizes the reactions of copolymers containing compounds 1 and 2 as suggested by model studies discussed In the companion paper (1). [Pg.471]


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See also in sourсe #XX -- [ Pg.311 , Pg.313 ]




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Companions

Defining the companion model

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