Class FittingSpecs

Class that contains variables that are specified prior to fitting, such as working point, minima and maxima.

Inheritance

object

FittingSpecs

GainSchedFittingSpecs

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: TimeSeriesAnalysis.Dynamic

Assembly: TimeSeriesAnalysis.dll

Syntax

public class FittingSpecs

Constructors

FittingSpecs(double[], double[])

Constructor

Declaration

public FittingSpecs(double[] u0 = null, double[] uNorm = null)

Parameters

Type	Name	Description
double[]	u0	an optional working point, a vector of u around which to localile
double[]	uNorm	an optional vector of values with which to normalize inputs

Fields

U_max_fit

the maximum allowed input value(if set to NaN, then fitting considers all data)

Declaration

public double[] U_max_fit

Field Value

Type	Description
double[]

U_min_fit

The minimum input value(if set to NaN,then fitting considers all data)

Declaration

public double[] U_min_fit

Field Value

Type	Description
double[]

Y_max_fit

all values above this threshold are ignored during fitting(if set to NaN, no maximum is applied)

Declaration

public double? Y_max_fit

Field Value

Type	Description
double?

Y_min_fit

all values below this threshold are ignored during fitting(if set to NaN, no minimum is applied)

Declaration

public double? Y_min_fit

Field Value

Type	Description
double?

u0

A vector of values subtracted form u to set the local opertating point: (u-u0)/uNorm Can be set to null, in which case no value is subtracted from u

Declaration

public double[] u0

Field Value

Type	Description
double[]

uNorm

A vector of values used to normalize u internally in the model by the equation: (u-u0)/uNorm Can be set to null, in which case u is left un-normalized.

Declaration

public double[] uNorm

Field Value

Type	Description
double[]