Lecture
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linearization point, the input variable is given a small increment xi +∆xi
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and the change in the output variable xHi = f(xi +∆xi) is recorded. Based
on the input and output transient process data for each linearization point, the coefficient matrix Ai is calculated using linear system identification methods:
ai Ai = M11
ami 1
La1in
M .
Lamni
2) Approximation of the linear models by a nonlinear function. Each coefficient of the matrix is approximated using one
interpolation formula or another, by means of any polynomial akji = pkj(x).
p(x)
A = Mpm1(x)
L p1n(x)
M .
L pmn(x)
Часть 1 1.4. Parametric Identification
Часть 2 - 1.4. Parametric Identification
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