The determination of transfer functions from state variable models
โ Scribed by M.J. Bosley; H.W. Kropholler; F.P. Lees; R.M. Neale
- Publisher
- Elsevier Science
- Year
- 1972
- Tongue
- English
- Weight
- 369 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
Sununary--Numerical difficulties which arise in the determination of zeroes in a transfer function by DAVISON'S [2] method are discussed. The results are compared with a method presented by MORGAN [4] and a modified form of the Leverrier algorithm is presented which has been found satisfactory for matrices whose elements differ by several orders of magnitude.
Notation
A n ร n plant matrix, B n ร k forcing function matrix, C nรm matrix, C~ n ร n matrix, E n ร n error matrix, G(s) transfer function matrix,
Gtj(s) transfer function, h~ coefficients of characteristic equation of A,
I identity matrix, p, s Laplace operator, T,~ n ร n matrix, t~ coefficients of characteristic equation of A-l, u vector of forcing functions of order p, x vector of state variables, x(0) vector of initial conditions of x, x(s) vector of transfer functions of x, w constant.
Greek letters
F constant.
๐ SIMILAR VOLUMES
A singular Roesser model is presented for a non-causal n-dimensional (n-D) system described by an n-D transfer function with non-monk denominator. Transformations of the transfer function variables (inversion, multivariable bilinear transformation) have been used to transform the given polynomial to
High order state variable models of chemical processes can be reduced to lower order models by matching the moments of the impulse responses for those states which it is desired to retain. The moments of the full model are calculated directly from the state equations and the parameters of the reduce