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State observable

B(A) is the probability of observing the system in state A, and B(B) is the probability of observing state B. In this model, the space is divided exactly into A and B. The dividing hyper-surface between the two is employed in Transition State Theory for rate calculations [19]. The identification of the dividing surface, which is usually assumed to depend on coordinates only, is a non-trivial task. Moreover, in principle, the dividing surface is a function of the whole phase space - coordinates and velocities, and therefore the exact calculation of it can be even more complex. Nevertheless, it is a crucial ingredient of the IVansition State Theory and variants of it. [Pg.276]

The eontrol is implemented using observed state variables... [Pg.260]

If the differenee between the aetual and observed state variables is... [Pg.260]

Equation (8.156) deseribes the elosed-loop dynamies of the observed state feedbaek eontrol system and the eharaeteristie equation is therefore... [Pg.260]

Fig. 8.10 Closed-loop control system with full-order observer state feedback. Fig. 8.10 Closed-loop control system with full-order observer state feedback.
Equation (8.157) shows that the desired elosed-loop poles for the eontrol system are not ehanged by the introduetion of the state observer. Sinee the observer is normally designed to have a more rapid response than the eontrol system with full order observed state feedbaek, the pole-plaeement roots will dominate. [Pg.261]

A full-order state observer estimates all state variables, irrespeetive of whether they are being measured. In praetiee, it would appear logieal to use a eombination of measured states from y = Cx and observed states (for those state variables that are either not being measured, or not being measured with suffieient aeeuraey). [Pg.262]

Comparing the system shown in Figure 8.12 with the original PD eontroller given in Example 5.10, the state feedbaek system may be eonsidered to be a PD eontroller where the proportional term uses measured output variables and the derivative term uses observed state variables. [Pg.266]

In the design of state observers in section 8.4.3, it was assumed that the measurements y = Cx were noise free. In practice, this is not usually the case and therefore the observed state vector x may also be contaminated with noise. [Pg.284]

The symmetry of each excited state must be used when matching up predicted and observed states. You cannot simply assume that the theoretical excited state ordering corresponds to the experimental. In most cases, Gaussian will identify the symmetry for each excited state. In those relatively rare instances when it cannot —as will be true for benzene—you will need to determine it by examining the transition wavefiinction coefficients and molecular orbitals. [Pg.225]

In a steady state experiment the PIA signal Y is proportional to neq. Measuring the PIA with a lock-in amplifier means exciting the sample with a periodic time-dependent pump photon flux. The latter can be approximated by a square wave that switches between a constant flux and zero photons with a frequency /= 1/r. As shown in Refs. [32] and [33] the PIA signal, measured with a lock-in amplifier Y, shows the same functional dependence on p as ncq in Eq. (9.5). For the monomo-lecular (p-1) and bimolecular (//=2) case the influence of r depends on t, the lifetime of the observed states, as follows ... [Pg.153]

The PIA spectra obtained show an electronic transition peaking at 0.26 eV (see Fig. 9-17) accompanied by infrared active vibrational modes which reveal the charged nature of the observed states [31]. The dependence of the PIA intensity on temperature is depicted in Figure 9-17. [Pg.467]

Useful information about an existing type or class—for example, an observation stating, Class Bicycle conforms to type WheeledVehicle —that has not been explicitly stated by the designer of class Bicycle in the package. [Pg.313]

The elements of the matrix A are fully specified by the stoichiometry matrix N and the metabolic state of the system. Usually, though not necessarily, the metabolic state corresponds to an experimentally observed state of the system and is characterized by steady-state concentrations S° and flux values v(S°). [Pg.192]

Figure 31 shows the largest eigenvalue of the Jacobian at the experimentally observed metabolic state as a function of the parameter 0 TP. Similar to Fig. 28 obtained for the minimal model, several dynamic regimes can be distinguished. In particular, for sufficient strength of the inhibition parameter, the system undergoes a Hopf bifurcation and the pathway indeed facilitates sustained oscillations at the observed state. [Pg.205]

Based on your observations, state a hypothesis about whether C02 is heavier or lighter than air. [Pg.53]

To learn more about situations where coupled chemical reactions can influence the observed state of a system, see the following ... [Pg.177]

The charge, scalar potential, and dipole are all true negative 4-resistors of extraordinary magnitude. They order the virtual state energy flux of the vacuum, and bridge the gap between virtual and observable state, extending into the entire macroscopic universe level. [Pg.683]

UV data for carbazole and its substituted and reduced derivatives have been tabulated (71PMH(3)115). More recently, solution and solid-state polarized reflection spectra for carbazole have been subjected to detailed analysis and the observed states assigned with the aid of calculations by the RPA methodology (76BCJ3382). [Pg.179]

Thus, for certain reactions, the general point t in Figure 1 may represent the observable state of the system because of unfavorable chemical kinetics. The absence of any necessary relationship between thermodynamic tendencies for natural reactions and rates simply means that the kinds of models which have been considered above provide, to use an apt term of Garrels and Christ, permissive answers, but kinetic factors may frequently render these answers of little practical significance, even in closed systems. [Pg.18]

Thus, we see, via Eqs. (2,28) and (2.57) that the coefficients of expansion of the excited wave packet in terms of the E, m ) states directly yield the probability amplitude for observing states E, m 0) in the distant future. [Pg.25]

Various electronic states of CaO are populated in the reactions Ca (3P, lD) + N20, although none of the observed states is adiabatically accessible [385] and they thus occur as the result of several surface crossings. It appears that product channels which involve a small number of such crossings are favoured. The total reaction cross sections and the chemiluminescence cross sections are 70 A2, 4 A2 and 67 A2, 5 A2 for the reactions of Ca (1D) and Ca (3P) with N20, respectively. [Pg.430]


See other pages where State observable is mentioned: [Pg.25]    [Pg.195]    [Pg.228]    [Pg.182]    [Pg.308]    [Pg.136]    [Pg.246]    [Pg.88]    [Pg.109]    [Pg.19]    [Pg.123]    [Pg.597]    [Pg.7]    [Pg.9]    [Pg.180]    [Pg.37]    [Pg.292]    [Pg.179]    [Pg.297]    [Pg.189]    [Pg.11]    [Pg.528]    [Pg.115]    [Pg.11]    [Pg.5]    [Pg.13]   
See also in sourсe #XX -- [ Pg.314 , Pg.341 , Pg.356 ]




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Cascade state observer

Crystalline-State Photoreactions Direct Observation of Reaction Processes and Metastable Intermediates

Experimental Observations of Solid-State Sintering

Experimentally Observed Glassy State

Finding the likeliest observations and state sequence

Full-order state observer

Ground-state wave function observability

Neural network state observer

Observation of Internal States

Observation of Multiple Steady States

Observation of bound states by dissociative attachment

Observed Valence States

Observed state variables

Reduced order state observer

Reduced second-order state observer

Solid-state NMR observation of polymer blends and interphases

State observer

State observer

State variable observer theory estimates

Steady-state cocurrent flow observation

Triplet ground state direct observation

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