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Class representing single-variable polynomial nonlinear estimator for Hammerstein-Wiener models
t=poly1d('Degree',n)
t=poly1d('Coefficients',C)
t=poly1d(n)
poly1d is an object that stores the single-variable polynomial nonlinear estimator for Hammerstein-Wiener models.
You can use the constructor to create the nonlinearity object, as follows:
t=poly1d('Degree',n) creates a polynomial nonlinearity estimator object of nth degree.
t=poly1d('Coefficients',C) creates a polynomial nonlinearity estimator object with coefficients C.
t=poly1d(n) a polynomial nonlinearity estimator object of nth degree.
Use evaluate(p,x) to compute the value of the function defined by the poly1d object p at x.
Use poly1d to define a nonlinear function
, where F is a single-variable polynomial function of x:
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After creating the object, you can use get or dot notation to access the object property values. For example:
% List all property values get(p) % Get value of Coefficients property p.Coefficients
| Property Name | Description |
|---|---|
| Degree | Positive integer specifies the degree of the polynomial For example: poly1d('Degree',3) |
| Coefficients | 1-by-(n+1) matrix containing the polynomial coefficients. |
Use poly1s to specify the single-variable polynomial nonlinearity estimator in Hammerstein-Wiener models. For example:
m=nlhw(Data,Orders,poly1d('deg',3),[]);where 'deg' is an abbreviation for the for the property 'Degree'.
| nlhw |
![]() | polyreg | predict | ![]() |
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