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Complex variables poles

The Nyquist stability criterion that we developed in Chap. 13 can be directly applied to multivariable processes. As you should recall, the procedure is based on a complex variable theorem which says that the dilTerence between the number of zeros and poles that a function has inside a dosed contour can be found by plotting the function and looking at the number of times it endrdes the origin. [Pg.564]

The stability of any system is determined by the location of the roots of its characteristic equation (or the poles of its transfer function). The characteristic equation of a continuous system is a polynomial in the complex variable s. If all the roots of this polynomial are in the left half of the s plane, the system is stable. For a continuous closedloop system, all the roots of 1 + must lie in the left... [Pg.657]

The stability of a sampled-data system is determined by the location of the roots of a characteristic equation that is a polynomial in the complex variable z. This characteristic equation is the denominator of the system transfer function set equal to zero. The roots of this polynomial (the poles of the system transfer function) are plotted in the z plane. The ordinate is the imaginary part of z, and the abscissa is the real part of z. [Pg.658]

A function F(z) is said to be meromorphic as a function of the complex variable z in some domain if F(z) is analytic in that domain apart from isolated poles of finite order (see, e.g., [372]). [Pg.253]

The analytic structure of the particle-hole Green s function (w) as a function of the complex variable w is governed by single poles and branch cuts... [Pg.90]

Chapter 9 Introduction to Complex Variables and Laplace Transforms where m = 2 denotes the pole order... [Pg.354]

The concept of contour encirclement plays a key role in Nyquist stability theory. A contour is said to make a clockwise encirclement of a point if the point is always to the right of the contour as the contour is traversed in the clockwise direction. Thus, a single traverse of either Ch or Cg in Fig. K.l results in a clockwise encirclement of the origin. The number of encirclements by C is related to the poles and zeroes of H s) that are located inside of Cg, by a well-known result from complex variable theory (Brown and Churchill, 2004 Franklin et al., 2005). [Pg.593]

The centralized control can be approached using different techniques pole-placement, optimal control and loop decoupling. When the whole state is not accessible, a motivation to introduce a state observer is discussed. A detailed example when all state variables are accessible, i.e. when the state observer it is not necessary, has been explained. It is important to remark that the previously cited techniques are not widely used in CSTR control. This is due to the fact that these procedures require non-intuitive matrix tuning and computations, which are not familiar in the process industry. Nevertheless, for complex processes, these procedures can be the only solution to the control problem, when a limited set of sensors are available. [Pg.31]

Figure 4. Complex plane of the variable s. The vertical axis Rei is the axis of the rates or complex frequencies. The horizontal axis Imr is the axis of real frequencies to. The resonances are the poles in the lower half-plane contributing to the forward semigroup. The antiresonances are the poles in the upper half-plane contributing to the backward semigroup. The resonances are mapped onto the antiresonances by time reversal. Complex singularities such as branch cuts are also possible but not depicted here. The spectrum contributing to the unitary group of time evolution is found on the axis Re = 0. Figure 4. Complex plane of the variable s. The vertical axis Rei is the axis of the rates or complex frequencies. The horizontal axis Imr is the axis of real frequencies to. The resonances are the poles in the lower half-plane contributing to the forward semigroup. The antiresonances are the poles in the upper half-plane contributing to the backward semigroup. The resonances are mapped onto the antiresonances by time reversal. Complex singularities such as branch cuts are also possible but not depicted here. The spectrum contributing to the unitary group of time evolution is found on the axis Re = 0.
Figure 4.6 Configurations of the reconstructed spectral parameters in the FPT+ Panel (i) the absolute values d I of the amplitudes at the corresponding chemical shifts, Re(v ). Panel (ii) the ratios dj /lm(i ) that are proportional to the peak heights. Panel (iii) distributions of poles via the harmonic variable z in the complex z+—plane. Panel (vi) distributions of the fundamental complex frequencies in the complex v+—plane. Figure 4.6 Configurations of the reconstructed spectral parameters in the FPT+ Panel (i) the absolute values d I of the amplitudes at the corresponding chemical shifts, Re(v ). Panel (ii) the ratios dj /lm(i ) that are proportional to the peak heights. Panel (iii) distributions of poles via the harmonic variable z in the complex z+—plane. Panel (vi) distributions of the fundamental complex frequencies in the complex v+—plane.
The expression for the cubic response function is given in Eq. (2.60) of Olsen and Jorgensen (1985). All the propagators that are derived from response theory are retarded polarization propagators. The poles are placed in the lower complex plane. This is specified through the energy variables Ei+itj and 2 + ii . The Pjj operator in Eq. (35) permutes Ei and 2 and it is assumed that the - 0 limit must be taken of the response functions. [Pg.208]

Now we will obtain asymptotic formulae for the field in the far zone (a 1). In deriving a formula we will deform the contour of integration in eq. 10.33 on the complex plane of variable m. However, such a procedure requires either the proof of absence of poles of the integrand or evaluation of their contribution to the integral value. The problem of determination of poles is extremely difficult because of the complexity of the integrand. At the same time sufficient agreement of results of calculations by asymptotic and exact formulae allows us to think that if there are poles in the upper half-plane of m, their contribution in a considered part of the spectrum is sufficiently small. Let us present integral in eq. 10.33 in the form ... [Pg.558]

The same holds true (with a negligible simplification) for the acidic amino acids, whereas the isoionic point for the basic amino acids is equal to KpA 2 + P s)- The isoelectric point of an amino acid is defined as the pH value at which the amino acid will move neither towards the positive nor negative pole when subjected to an electric current. The isoelectric points may depend on the presence of other ions but for all practical purposes the isoelectric point and isoionic point may be considered identical for amino acids (except when complexes between amino acids and metal ions are involved (see Section IV,G)). For proteins there may be substantial differences. The isoelectric point is not equal to the pH value of a solution of the amino acid in water, the latter being somewhere between the isoelectric point and pH 7. The difference will normally not be great, but neutral amino acids have a very small buffering capacity at the isoelectric point and the pH values found in their aqueous solutions are therefore variable. [Pg.241]

If H(s) has repeated (multiple) complex poles at the same location, the expression for y (t) also includes a polynomial factor in the variable t.] The damping factor a determines the time constant ofthe decay ofy(t), with T = 1/ a I, and the damped frequency of oscillation ct>j determines the frequency of the oscillation. When U(j a the circuit is said to be resonant, and the period of oscillation is small compared to the time constant of decay. The time-domain waveform of the response is said to exhibit ringing. The complex poles associated with ringing are relatively closer to the j axis than to the real axis. [Pg.15]


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See also in sourсe #XX -- [ Pg.345 ]




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