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Slow dynamics

Remark 3.1. In contrast to the theory presented thus far (Section 2.3), the algebraic constraints of (3.12) incorporate a set of (unknown) manipulated inputs, u1. The equilibrium manifold described by (3.12) is thus referred to as control-dependent. [Pg.40]

In order to obtain the description of the slow dynamics, and using the developments in Section 2.3, we make the following, typically true (see, e.g., Kumar and Daoutidis 2002, Contou-Carrere el al. 2004, Baldea el al. 2006, Baldea and Daoutidis 2007), assumption. [Pg.40]

We now multiply Equation (3.10) by e and consider the limit of an infinitely high recycle flow rate (i.e., e — 0) in the original time scale t. In this limit, we obtain the constraints in Equation (3.12), or equivalently, the linearly independent constraints [Pg.40]

As anticipated in Remark 3.1, the constraints in Equation (3.13) depend on u1. In other words, the slow dynamics of the process cannot be completely characterized (in the sense of obtaining a reduced-order ODE representation of the type (2.48)) prior to defining u1 as a function of the process state variables (or measured outputs) via an appropriate control law. These issues are addressed in the following section. [Pg.41]

Remark 3.2. We can regard the developments above from a converse perspective. Namely, if we consider the model of each individual unit (preserving the input and output flow structure of the process) in the fast time scale t, we can write a simplified model for unit i in the form [Pg.41]


While the single-loop PID controller is satisfactoiy in many process apphcations, it does not perform well for processes with slow dynamics, time delays, frequent disturbances, or multivariable interactions. We discuss several advanced control methods hereafter that can be implemented via computer control, namely feedforward control, cascade control, time-delay compensation, selective and override control, adaptive control, fuzzy logic control, and statistical process control. [Pg.730]

Feedforward Control If the process exhibits slow dynamic response and disturbances are frequent, then the apphcation of feedforward control may be advantageous. Feedforward (FF) control differs from feedback (FB) control in that the primary disturbance or load (L) is measured via a sensor and the manipulated variable (m) is adjusted so that deviations in the controlled variable from the set point are minimized or eliminated (see Fig. 8-29). By taking control action based on measured disturbances rather than controlled variable error, the controller can reject disturbances before they affec t the controlled variable c. In order to determine the appropriate settings for the manipulated variable, one must develop mathematical models that relate ... [Pg.730]

In polymers one will often particularly be interested in very slow dynamic processes. The solid echo technique just described is still limited by the transverse relaxation time T being of the order of a few ps at most. The ultimate limitation in every NMR experiment however, is not T but the longitudinal relaxation time T, which for 2H in solid polymers typically is much longer, being in the range 10 ms to 10 s. The spin alignment technique (20) circumvents transverse relaxation and is limited by Tx only, thus ultraslow motions become accessible of experiment. [Pg.33]

The basic experimental arrangements for photocurrent measurements under periodic square and sinusoidal light perturbation are schematically depicted in Fig. 19. In the previous section, we have already discussed experimental results based on chopped light and lock-in detection. This approach is particularly useful for measurement at a single frequency, generally above 5 Hz. At lower frequencies the performance of lock-in amplifier and mechanical choppers diminishes considerably. For rather slow dynamics, DC photocurrent transients employing optical shutters are more advisable. On the other hand, for kinetic studies of the various reaction steps under illumination, intensity modulated photocurrent spectroscopy (IMPS) has proved to be a very powerful approach [132,133,148-156]. For IMPS, the applied potential is kept constant and the light intensity is sinusoid-... [Pg.221]

To date, in-bed filtration was more or less a black box as any measurement within the bed was virtually impossible. The design of such filters was based on models that could be validated only by integral measurements. However, with the MRI method even the (slow) dynamics of the filtration process can be determined. The binary gated data obtained by standard MRI methods are sufficient for the quantitative description of the system. With spatially resolved measurements the applicability of basic mass balances based on improved models can be shown in detail. [Pg.262]

Multidimensional and heteronuclear NMR techniques have revolutionised the use of NMR spectroscopy for the structure determination of organic molecules from small to complex. Multidimensional NMR also allows observation of forbidden multiple-quantum transitions and probing of slow dynamic processes, such as chemical exchange, cross-relaxation, transient Over-hauser effects, and spin-diffusion in solids. [Pg.338]

One general approach to enhancing sampling, which is the focus of this section, is based on the fact that both fast and slow dynamical modes contribute to the time evolution of biomolecular systems, but in most cases the motions of primary interest are the slow ones, which typically correspond to the largest structural changes [72, 73],... [Pg.293]

In some SCMs the single unit constituting the chain can present on its own a slow dynamics related to its magnetic anisotropy ... [Pg.103]

Preliminary experiments demonstrated that only one slow dynamic process can be generally detected in BENA by dynamic NMR spectroscopy. [Pg.659]

Hu and Ruckenstein s results (130) showed that on the reduced nickel-containing catalyst, the reaction took place by a Langmuir-Hinshelwood mechanism involving adsorbed CH4 and oxygen species. Furthermore, they indicated that a slow dynamic redox process consisting of lattice oxygen formation and its reduction by carbon species was at least partly responsible for the CO formation. [Pg.342]

W. Kob, J. Horbach, and K. Binder, in Slow Dynamics in Complex Systems 8th Tohwa... [Pg.62]

You may wonder why we would ever be satisfied with anything less than a very accurate integration. The ODEs that make up the mathematical models of most practical chemical engineering systems usually represent a mixture of fast dynamics and slow dynamics. For example, in a distillation column the liquid flow or hydraulic dynamic response occurs fairly rapidly, of the order of a few seconds per tray. The composition dynamics, the rate of change of hquid mole fractions on the trays, are usually much slower—minutes or even hours for columns with many trays. Systems with this mixture of fast and slow ODEs are called stiff systems. [Pg.112]

The application of neutron spin-echo spectroscopy to the analysis of the slow dynamics of biomolecules is still in its infancy, but developing fast. The few published investigations either pertain to the diffusion of globular proteins in solution [332-334] or focus on the internal subnanosecond dynamics on the length scale, <10 A as measured on wet powders [335,336]. The latter regime overlaps with other quasi-elastic neutron scattering methods as backscattering and TOE spectrometry [337-339]. [Pg.200]

Yount WC, Loveless DM, Craig SL. Strong means slow dynamic contributions to the mechanical properties of supramolecular networks. Angew Chem Int Ed 2005b 44 2746-2748. [Pg.62]

L. Cipelletti and L. Ramos, Slow dynamics in glassy soft matter. J. Phys. (Condensed Matter) 17, R253-R285 (2005). [Pg.115]

L. F. Cugliandolo, J. Kurchan, and L. Peliti, Energy flow, partial equilibration, and effective temperatures in systems with slow dynamics. Phys. Rev. E 55, 3898-914 (1997). [Pg.122]

Recent examples of this kind of methodology can be found, for example, in the work of Rebek et al. [10] The catalyst used is a cavitand armed with a Zn salen-type complex (Figure 1.2). The cavitand adopts a vase-like conformation that is stabilized by a seam of hydrogen bonds provided by the six secondary amides. The structure of the catalyst permits a slow dynamic exchange between free and bound guest (reactant) on the H NMR time-scale that is controlled by the folding and unfolding of the cavitand. [Pg.4]


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See also in sourсe #XX -- [ Pg.455 ]




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