Class FittingSpecs

Namespace

TimeSeriesAnalysis.Dynamic

Assembly

TimeSeriesAnalysis.dll

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

public class FittingSpecs

Inheritance

object

FittingSpecs

Derived

GainSchedFittingSpecs

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

FittingSpecs(double[], double[])

Constructor

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

Parameters

u0 double[]

an optional working point, a vector of u around which to localile

uNorm double[]

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)

public double[] U_max_fit

Field Value

double[]

U_min_fit

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

public double[] U_min_fit

Field Value

double[]

Y_max_fit

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

public double? Y_max_fit

Field Value

double?

Y_min_fit

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

public double? Y_min_fit

Field Value

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

public double[] u0

Field Value

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.

public double[] uNorm

Field Value

double[]