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19
Esiur.Analysis.Test/Esiur.Analysis.Test.csproj
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19
Esiur.Analysis.Test/Esiur.Analysis.Test.csproj
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@ -0,0 +1,19 @@
|
|||||||
|
<Project Sdk="Microsoft.NET.Sdk">
|
||||||
|
|
||||||
|
<PropertyGroup>
|
||||||
|
<OutputType>WinExe</OutputType>
|
||||||
|
<TargetFramework>net6.0-windows</TargetFramework>
|
||||||
|
<Nullable>enable</Nullable>
|
||||||
|
<UseWindowsForms>true</UseWindowsForms>
|
||||||
|
<ImplicitUsings>enable</ImplicitUsings>
|
||||||
|
</PropertyGroup>
|
||||||
|
|
||||||
|
<ItemGroup>
|
||||||
|
<PackageReference Include="ScottPlot.WinForms" Version="4.1.58" />
|
||||||
|
</ItemGroup>
|
||||||
|
|
||||||
|
<ItemGroup>
|
||||||
|
<ProjectReference Include="..\Esiur.Analysis\Esiur.Analysis.csproj" />
|
||||||
|
</ItemGroup>
|
||||||
|
|
||||||
|
</Project>
|
||||||
72
Esiur.Analysis.Test/FMain.Designer.cs
generated
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72
Esiur.Analysis.Test/FMain.Designer.cs
generated
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@ -0,0 +1,72 @@
|
|||||||
|
namespace Esiur.Analysis.Test
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||||||
|
{
|
||||||
|
partial class FMain
|
||||||
|
{
|
||||||
|
/// <summary>
|
||||||
|
/// Required designer variable.
|
||||||
|
/// </summary>
|
||||||
|
private System.ComponentModel.IContainer components = null;
|
||||||
|
|
||||||
|
/// <summary>
|
||||||
|
/// Clean up any resources being used.
|
||||||
|
/// </summary>
|
||||||
|
/// <param name="disposing">true if managed resources should be disposed; otherwise, false.</param>
|
||||||
|
protected override void Dispose(bool disposing)
|
||||||
|
{
|
||||||
|
if (disposing && (components != null))
|
||||||
|
{
|
||||||
|
components.Dispose();
|
||||||
|
}
|
||||||
|
base.Dispose(disposing);
|
||||||
|
}
|
||||||
|
|
||||||
|
#region Windows Form Designer generated code
|
||||||
|
|
||||||
|
/// <summary>
|
||||||
|
/// Required method for Designer support - do not modify
|
||||||
|
/// the contents of this method with the code editor.
|
||||||
|
/// </summary>
|
||||||
|
private void InitializeComponent()
|
||||||
|
{
|
||||||
|
this.formsPlot1 = new ScottPlot.FormsPlot();
|
||||||
|
this.button1 = new System.Windows.Forms.Button();
|
||||||
|
this.SuspendLayout();
|
||||||
|
//
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||||||
|
// formsPlot1
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||||||
|
//
|
||||||
|
this.formsPlot1.Location = new System.Drawing.Point(57, 47);
|
||||||
|
this.formsPlot1.Margin = new System.Windows.Forms.Padding(5, 4, 5, 4);
|
||||||
|
this.formsPlot1.Name = "formsPlot1";
|
||||||
|
this.formsPlot1.Size = new System.Drawing.Size(1006, 576);
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||||||
|
this.formsPlot1.TabIndex = 0;
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||||||
|
//
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||||||
|
// button1
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||||||
|
//
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||||||
|
this.button1.Location = new System.Drawing.Point(12, 316);
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||||||
|
this.button1.Name = "button1";
|
||||||
|
this.button1.Size = new System.Drawing.Size(85, 31);
|
||||||
|
this.button1.TabIndex = 1;
|
||||||
|
this.button1.Text = "button1";
|
||||||
|
this.button1.UseVisualStyleBackColor = true;
|
||||||
|
this.button1.Click += new System.EventHandler(this.button1_Click);
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||||||
|
//
|
||||||
|
// FMain
|
||||||
|
//
|
||||||
|
this.AutoScaleDimensions = new System.Drawing.SizeF(8F, 20F);
|
||||||
|
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
|
||||||
|
this.ClientSize = new System.Drawing.Size(1175, 658);
|
||||||
|
this.Controls.Add(this.button1);
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||||||
|
this.Controls.Add(this.formsPlot1);
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||||||
|
this.Name = "FMain";
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||||||
|
this.Text = "PID Controller with Fuzzy";
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||||||
|
this.Load += new System.EventHandler(this.FMain_Load);
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||||||
|
this.ResumeLayout(false);
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||||||
|
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||||||
|
}
|
||||||
|
|
||||||
|
#endregion
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||||||
|
|
||||||
|
private ScottPlot.FormsPlot formsPlot1;
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||||||
|
private Button button1;
|
||||||
|
}
|
||||||
|
}
|
||||||
345
Esiur.Analysis.Test/FMain.cs
Normal file
345
Esiur.Analysis.Test/FMain.cs
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@ -0,0 +1,345 @@
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using Esiur.Analysis.DSP;
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using Esiur.Analysis.Fuzzy;
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using Esiur.Analysis.Optimization;
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using Esiur.Analysis.Signals;
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using Esiur.Analysis.Units;
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using Microsoft.VisualBasic.Logging;
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using ScottPlot;
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using ScottPlot.Drawing.Colormaps;
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using System.Security.Cryptography;
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using Esiur.Analysis.Statistics;
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|
using System.Diagnostics;
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|
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|
namespace Esiur.Analysis.Test
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|
{
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||||||
|
public partial class FMain : Form
|
||||||
|
{
|
||||||
|
public FMain()
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||||||
|
{
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|
InitializeComponent();
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|
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|
//var outage = Capacity.ComputeOutage(20000000, new Capacity.CSI[]
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//{
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// new Capacity.CSI(PowerUnit.FromDb(20), 0.1),
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// new Capacity.CSI(PowerUnit.FromDb(15), 0.15),
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// new Capacity.CSI(PowerUnit.FromDb(10), 0.25),
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// new Capacity.CSI(PowerUnit.FromDb(5), 0.25),
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|
// new Capacity.CSI(PowerUnit.FromDb(0), 0.15),
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// new Capacity.CSI(PowerUnit.FromDb(-5), 0.1),
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//});
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var outage = Capacity.ComputeOutage(1, new Capacity.CSI[]
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|
{
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|
new Capacity.CSI(PowerUnit.FromDb(30), 0.2),
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|
new Capacity.CSI(PowerUnit.FromDb(20), 0.3),
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|
new Capacity.CSI(PowerUnit.FromDb(10), 0.3),
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|
new Capacity.CSI(PowerUnit.FromDb(0), 0.2),
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|
});
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|
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||||||
|
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var low = new ContinuousSet(MembershipFunctions.Descending(20, 40));
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var mid = new ContinuousSet(MembershipFunctions.Triangular(20, 40, 60));
|
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var high = new ContinuousSet(MembershipFunctions.Ascending(40, 60));
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|
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||||||
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var bad = new ContinuousSet(MembershipFunctions.Descending(0, 30));
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var ok = new ContinuousSet(MembershipFunctions.Triangular(20, 50, 80));
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var excelent = new ContinuousSet(MembershipFunctions.Ascending(70, 100));
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|
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||||||
|
var small = new ContinuousSet(MembershipFunctions.Descending(100, 200));
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||||||
|
var avg = new ContinuousSet(MembershipFunctions.Triangular(100, 200, 300));
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var big = new ContinuousSet(MembershipFunctions.Ascending(200, 300));
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|
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|
//var speedIsLowThenSmall = new FuzzyRule("Low=>Small", low, small);
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|
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double rating = 80;
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for (double temp = 60; temp < 100; temp++)
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{
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var v = MamdaniDefuzzifier.Evaluate(new INumericalSet<double>[]
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|
{
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temp.Is(low).And(rating.Is(bad)).Then(small),
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temp.Is(mid).And(rating.Is(ok)).Then(avg),
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temp.Is(high).And(rating.Is(excelent)).Then(big),
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}, MamdaniDefuzzifierMethod.CenterOfGravity, 100, 300, 1);
|
||||||
|
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||||||
|
}
|
||||||
|
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||||||
|
}
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||||||
|
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||||||
|
private void FMain_Load(object sender, EventArgs e)
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|
{
|
||||||
|
|
||||||
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var lowErr = new ContinuousSet(MembershipFunctions.Descending(-5, 4.5));
|
||||||
|
var midErr = new ContinuousSet(MembershipFunctions.Triangular(-4, 6.5, 16.5));
|
||||||
|
var highErr = new ContinuousSet(MembershipFunctions.Ascending(8, 18));
|
||||||
|
|
||||||
|
var lowAccErr = new ContinuousSet(MembershipFunctions.Descending(0, 0.02));
|
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|
var midAccErr = new ContinuousSet(MembershipFunctions.Triangular(0.02, 0.04, 0.06));
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||||||
|
var highAccErr = new ContinuousSet(MembershipFunctions.Ascending(0.04, 0.06));
|
||||||
|
|
||||||
|
var small = new ContinuousSet(MembershipFunctions.Descending(0.1, 0.5));
|
||||||
|
var avg = new ContinuousSet(MembershipFunctions.Triangular(0.1, 0.5, 1.1));
|
||||||
|
var big = new ContinuousSet(MembershipFunctions.Ascending(-10, 1.1));
|
||||||
|
|
||||||
|
|
||||||
|
var x = Enumerable.Range(0, 1000).Select(x => x * 0.01).ToArray();
|
||||||
|
|
||||||
|
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||||||
|
var step = Enumerable.Repeat(1, 1000).Select(x => (double)x).ToArray();
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|
step[0] = 0;
|
||||||
|
|
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|
var motor = new TransferFunction(new double[] { 1, 2 }, new double[] { 1, 1, 2 }, 0.01);
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|
var motorPID = new TransferFunction(new double[] { 1, 2 }, new double[] { 1, 1, 2 }, 0.01);
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|
var motorFuzzyPID = new TransferFunction(new double[] { 1, 2 }, new double[] { 1, 1, 2 }, 0.01);
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||||||
|
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||||||
|
//double Kp = 2, Ki = 0.4, Kd = 0.4;
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|
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|
double Ki = -1.9181372, Kp = 18.625, Kd = 0.38281253;
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|
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||||||
|
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||||||
|
var pid = new TransferFunction(new double[] { Kd, Kp, Ki }, new double[] { 1, 1 }, 0.01);
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|
var fuzzyPID = new TransferFunction(new double[] { Kd, Kp, Ki }, new double[] { 1, 1 }, 0.01);
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|
|
||||||
|
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||||||
|
var sysOut = new double[step.Length];
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||||||
|
var sysOutFuzzyPID = new double[step.Length];
|
||||||
|
var sysOutPID = new double[step.Length];
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||||||
|
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||||||
|
var pidOut = new double[step.Length];
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|
var pidOutFuzzy = new double[step.Length];
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||||||
|
var errorOutPID = new double[step.Length];
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||||||
|
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var errOut = new double[step.Length];
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||||||
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var errAccOut = new double[step.Length];
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||||||
|
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||||||
|
//var errorAccOut = new double[step.Length];
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||||||
|
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||||||
|
var errorOutFuzzy = new double[step.Length];
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||||||
|
var errorOutAccFuzzy = new double[step.Length];
|
||||||
|
|
||||||
|
for (var i = 0; i < step.Length; i++)
|
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|
{
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|
sysOut[i] = motor.Evaluate(step[i]);
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|
errOut[i] = step[i] - sysOut[i];
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|
errAccOut[i] = errOut[i] - (i == 0 ? 0 : errOut[i - 1]);
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||||||
|
|
||||||
|
sysOutPID[i] = motorPID.Evaluate(step[i] + (i == 0 ? 0 : pidOut[i - 1]));
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||||||
|
sysOutFuzzyPID[i] = motorFuzzyPID.Evaluate(step[i] + (i == 0 ? 0 : pidOutFuzzy[i - 1]));
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||||||
|
|
||||||
|
|
||||||
|
errorOutPID[i] = (step[i] - sysOutPID[i]);
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|
errorOutFuzzy[i] = (step[i] - sysOutFuzzyPID[i]);
|
||||||
|
errorOutAccFuzzy[i] = (errorOutFuzzy[i] - (i == 0 ? 0 : errorOutFuzzy[i - 1]));
|
||||||
|
|
||||||
|
pidOut[i] = pid.Evaluate(errorOutPID[i]);
|
||||||
|
pidOutFuzzy[i] = fuzzyPID.Evaluate(errorOutFuzzy[i]);
|
||||||
|
|
||||||
|
|
||||||
|
var k = MamdaniDefuzzifier.Evaluate(new INumericalSet<double>[]
|
||||||
|
{
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(big),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(big),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(big),
|
||||||
|
}, MamdaniDefuzzifierMethod.CenterOfGravity, 0, 1, 0.05);
|
||||||
|
|
||||||
|
fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
}
|
||||||
|
|
||||||
|
Debug.WriteLine($"Error Values Min: {errOut.Min()} Max: {errOut.Max()} ");
|
||||||
|
Debug.WriteLine($"Error Acc Values Min: {errAccOut.Min()} Max: {errAccOut.Max()} ");
|
||||||
|
|
||||||
|
formsPlot1.Plot.AddScatter(x, sysOut, Color.Red);
|
||||||
|
formsPlot1.Plot.AddScatter(x, sysOutPID, Color.Blue);
|
||||||
|
formsPlot1.Plot.AddScatter(x, sysOutFuzzyPID, Color.Green);
|
||||||
|
|
||||||
|
formsPlot1.Refresh();
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
struct KK
|
||||||
|
{
|
||||||
|
public float Ki;
|
||||||
|
public float Kp;
|
||||||
|
public float Kd;
|
||||||
|
|
||||||
|
public override string ToString()
|
||||||
|
{
|
||||||
|
return $"Ki {Ki} Kp {Kp} Kd {Kd}";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
struct FuzzyChromosome
|
||||||
|
{
|
||||||
|
public sbyte KiInputErrPosition;
|
||||||
|
public sbyte KiInputErrScale;
|
||||||
|
|
||||||
|
public sbyte KiInputErrAccPosition;
|
||||||
|
public sbyte KiInputErrAccScale;
|
||||||
|
|
||||||
|
public sbyte KiOutputPosition;
|
||||||
|
public sbyte KiOutputScale;
|
||||||
|
}
|
||||||
|
|
||||||
|
private double CalculateFuzzyPIDStepError(FuzzyChromosome config, double errStart, double errEnd)
|
||||||
|
{
|
||||||
|
var errPos = config.KiInputErrPosition * 0.1;
|
||||||
|
var errScale = config.KiInputErrPosition * 0.1;
|
||||||
|
|
||||||
|
var lowErr = new ContinuousSet(MembershipFunctions.Descending(config.KiInputErrPosition * 0.1, config.kiLowStart * 0.1 + Math.Abs(config.kiLowEnd * 0.1)));
|
||||||
|
var midErr = new ContinuousSet(MembershipFunctions.Triangular(config.KiInputErrPosition * 0.1, config.kiMidStart * 0.1 + Math.Abs(config.kiMidMid * 0.1), config.kiMidStart * 0.1 + Math.Abs(config.kiMidMid * 0.1) + Math.Abs(config.kiMidEnd * 0.1)));
|
||||||
|
var highErr = new ContinuousSet(MembershipFunctions.Ascending(config.KiInputErrPosition * 0.1, config.kiHiStart * 0.1 + Math.Abs(config.kiHiEnd * 0.1)));
|
||||||
|
|
||||||
|
var lowAccErr = new ContinuousSet(MembershipFunctions.Descending(config.KiInputErrAccPosition * 0.1, Math.Abs(config.kiLowAccStart * 0.1) + Math.Abs(config.kiLowAccEnd * 0.1)));
|
||||||
|
var midAccErr = new ContinuousSet(MembershipFunctions.Triangular(config.KiInputErrAccPosition * 0.1, Math.Abs(config.kiMidAccStart * 0.1) + Math.Abs(config.kiMidAccMid * 0.1), config.kiMidAccStart * 0.1 + Math.Abs(config.kiMidAccMid * 0.1) + Math.Abs(config.kiMidAccEnd * 0.1)));
|
||||||
|
var highAccErr = new ContinuousSet(MembershipFunctions.Ascending(config.KiInputErrAccPosition * 0.1, config.kiHiAccStart * 0.1 + Math.Abs(config.kiHiAccEnd * 0.1)));
|
||||||
|
|
||||||
|
var small = new ContinuousSet(MembershipFunctions.Descending(config.kiSmallStart * 0.1, config.kiSmallStart * 0.1 + Math.Abs(config.kiSmallEnd * 0.1)));
|
||||||
|
var avg = new ContinuousSet(MembershipFunctions.Triangular(config.kiAvgStart * 0.1, config.kiAvgStart * 0.1 + Math.Abs(config.kiAvgMid * 0.1), config.kiAvgStart * 0.1 + Math.Abs(config.kiAvgMid * 0.1) + Math.Abs(config.kiAvgEnd * 0.1)));
|
||||||
|
var big = new ContinuousSet(MembershipFunctions.Ascending(config.kiBigStart * 0.1, config.kiBigStart * 0.1 + Math.Abs(config.kiBigEnd * 0.1)));
|
||||||
|
|
||||||
|
double Ki = -1.9181372, Kp = 18.625, Kd = 0.38281253;
|
||||||
|
|
||||||
|
var step = Enumerable.Repeat(1, 1000).Select(x => (double)x).ToArray();
|
||||||
|
step[0] = 0;
|
||||||
|
|
||||||
|
var motor = new TransferFunction(new double[] { 1, 2 }, new double[] { 1, 1, 2 }, 0.01);
|
||||||
|
var fuzzyPID = new TransferFunction(new double[] { Kd, Kp, Ki }, new double[] { 1, 1 }, 0.01);
|
||||||
|
|
||||||
|
var sysOutFuzzyPID = new double[step.Length];
|
||||||
|
|
||||||
|
var pidOut = new double[step.Length];
|
||||||
|
var pidOutFuzzy = new double[step.Length];
|
||||||
|
|
||||||
|
var errorOutFuzzy = new double[step.Length];
|
||||||
|
var errorOutAccFuzzy = new double[step.Length];
|
||||||
|
|
||||||
|
for (var i = 0; i < step.Length; i++)
|
||||||
|
{
|
||||||
|
sysOutFuzzyPID[i] = motor.Evaluate(step[i] + (i == 0 ? 0 : pidOutFuzzy[i - 1]));
|
||||||
|
|
||||||
|
|
||||||
|
errorOutFuzzy[i] = (step[i] - sysOutFuzzyPID[i]);
|
||||||
|
errorOutAccFuzzy[i] = (errorOutFuzzy[i] - (i == 0 ? 0 : errorOutFuzzy[i - 1]));
|
||||||
|
|
||||||
|
pidOutFuzzy[i] = fuzzyPID.Evaluate(errorOutFuzzy[i]);
|
||||||
|
|
||||||
|
|
||||||
|
var k = MamdaniDefuzzifier.Evaluate(new INumericalSet<double>[]
|
||||||
|
{
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(lowErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(small),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(midErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(big),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(lowAccErr)).Then(avg),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(midAccErr)).Then(big),
|
||||||
|
errorOutFuzzy[i].Is(highAccErr).And(errorOutAccFuzzy[i].Is(highAccErr)).Then(big),
|
||||||
|
}, MamdaniDefuzzifierMethod.CenterOfGravity, -100, 100, 0.5);
|
||||||
|
|
||||||
|
fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
//fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
//fuzzyPID.InputCoefficients[1] = k;
|
||||||
|
}
|
||||||
|
|
||||||
|
return errorOutFuzzy.RMS();
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
private double CalculatePIDStepError(double Kd, double Kp, double Ki)
|
||||||
|
{
|
||||||
|
var step = Enumerable.Repeat(1, 1000).Select(x => (double)x).ToArray();
|
||||||
|
step[0] = 0;
|
||||||
|
|
||||||
|
var motor = new TransferFunction(new double[] { 1, 2 }, new double[] { 1, 1, 2 }, 0.01);
|
||||||
|
|
||||||
|
var sysOutPID = new double[step.Length];
|
||||||
|
|
||||||
|
var pidOut = new double[step.Length];
|
||||||
|
var errorOutPID = new double[step.Length];
|
||||||
|
var pid = new TransferFunction(new double[] { Kd, Kp, Ki }, new double[] { 1, 1 }, 0.01);
|
||||||
|
|
||||||
|
for (var i = 0; i < step.Length; i++)
|
||||||
|
{
|
||||||
|
sysOutPID[i] = motor.Evaluate(step[i] + (i == 0 ? 0 : pidOut[i - 1]));
|
||||||
|
|
||||||
|
if (double.IsInfinity(sysOutPID[i]))
|
||||||
|
Console.WriteLine();
|
||||||
|
|
||||||
|
errorOutPID[i] = (step[i] - sysOutPID[i]);
|
||||||
|
|
||||||
|
if (double.IsNaN(errorOutPID[i]))
|
||||||
|
Console.WriteLine();
|
||||||
|
|
||||||
|
pidOut[i] = pid.Evaluate(errorOutPID[i]);
|
||||||
|
|
||||||
|
if (double.IsInfinity(pidOut[i]))
|
||||||
|
Console.WriteLine();
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
return errorOutPID.RMS();
|
||||||
|
}
|
||||||
|
|
||||||
|
private void button1_Click(object sender, EventArgs e)
|
||||||
|
{
|
||||||
|
|
||||||
|
//var gen = new Genetic<KK>(100, k =>
|
||||||
|
//{
|
||||||
|
// if (float.IsNaN(k.Ki) || float.IsNaN(k.Kp) || float.IsNaN(k.Kd))
|
||||||
|
// return (double.MaxValue);
|
||||||
|
|
||||||
|
|
||||||
|
// var r = CalculatePIDStepError(k.Kd, k.Kp, k.Ki);
|
||||||
|
// if (double.IsNaN(r))
|
||||||
|
// Console.WriteLine();
|
||||||
|
// return r;
|
||||||
|
//});
|
||||||
|
|
||||||
|
var gen = new Genetic<KKFF>(100, k =>
|
||||||
|
{
|
||||||
|
if (float.IsNaN(k.kiAvgEnd)
|
||||||
|
|| float.IsNaN(k.kiAvgMid)
|
||||||
|
|| float.IsNaN(k.kiAvgStart)
|
||||||
|
|| float.IsNaN(k.kiBigEnd)
|
||||||
|
|| float.IsNaN(k.kiBigStart)
|
||||||
|
|| float.IsNaN(k.kiHiAccEnd)
|
||||||
|
|| float.IsNaN(k.kiHiAccStart)
|
||||||
|
|| float.IsNaN(k.kiHiEnd)
|
||||||
|
|| float.IsNaN(k.kiHiStart)
|
||||||
|
|| float.IsNaN(k.kiLowAccEnd)
|
||||||
|
|| float.IsNaN(k.kiLowAccStart)
|
||||||
|
|| float.IsNaN(k.kiLowEnd)
|
||||||
|
|| float.IsNaN(k.kiLowStart)
|
||||||
|
|| float.IsNaN(k.kiMidAccEnd)
|
||||||
|
|| float.IsNaN(k.kiMidAccMid)
|
||||||
|
|| float.IsNaN(k.kiMidAccStart)
|
||||||
|
|| float.IsNaN(k.kiMidEnd)
|
||||||
|
|| float.IsNaN(k.kiMidMid)
|
||||||
|
|| float.IsNaN(k.kiMidStart)
|
||||||
|
|| float.IsNaN(k.kiSmallEnd)
|
||||||
|
|| float.IsNaN(k.kiSmallStart))
|
||||||
|
return (double.MaxValue);
|
||||||
|
|
||||||
|
|
||||||
|
var r = CalculateFuzzyPIDStepError(k);
|
||||||
|
if (double.IsNaN(r))
|
||||||
|
Console.WriteLine();
|
||||||
|
return r;
|
||||||
|
});
|
||||||
|
|
||||||
|
|
||||||
|
var ev = gen.Evaluate(1000);
|
||||||
|
|
||||||
|
Console.WriteLine(ev);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
60
Esiur.Analysis.Test/FMain.resx
Normal file
60
Esiur.Analysis.Test/FMain.resx
Normal file
@ -0,0 +1,60 @@
|
|||||||
|
<root>
|
||||||
|
<xsd:schema id="root" xmlns="" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:msdata="urn:schemas-microsoft-com:xml-msdata">
|
||||||
|
<xsd:import namespace="http://www.w3.org/XML/1998/namespace" />
|
||||||
|
<xsd:element name="root" msdata:IsDataSet="true">
|
||||||
|
<xsd:complexType>
|
||||||
|
<xsd:choice maxOccurs="unbounded">
|
||||||
|
<xsd:element name="metadata">
|
||||||
|
<xsd:complexType>
|
||||||
|
<xsd:sequence>
|
||||||
|
<xsd:element name="value" type="xsd:string" minOccurs="0" />
|
||||||
|
</xsd:sequence>
|
||||||
|
<xsd:attribute name="name" use="required" type="xsd:string" />
|
||||||
|
<xsd:attribute name="type" type="xsd:string" />
|
||||||
|
<xsd:attribute name="mimetype" type="xsd:string" />
|
||||||
|
<xsd:attribute ref="xml:space" />
|
||||||
|
</xsd:complexType>
|
||||||
|
</xsd:element>
|
||||||
|
<xsd:element name="assembly">
|
||||||
|
<xsd:complexType>
|
||||||
|
<xsd:attribute name="alias" type="xsd:string" />
|
||||||
|
<xsd:attribute name="name" type="xsd:string" />
|
||||||
|
</xsd:complexType>
|
||||||
|
</xsd:element>
|
||||||
|
<xsd:element name="data">
|
||||||
|
<xsd:complexType>
|
||||||
|
<xsd:sequence>
|
||||||
|
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
|
||||||
|
<xsd:element name="comment" type="xsd:string" minOccurs="0" msdata:Ordinal="2" />
|
||||||
|
</xsd:sequence>
|
||||||
|
<xsd:attribute name="name" type="xsd:string" use="required" msdata:Ordinal="1" />
|
||||||
|
<xsd:attribute name="type" type="xsd:string" msdata:Ordinal="3" />
|
||||||
|
<xsd:attribute name="mimetype" type="xsd:string" msdata:Ordinal="4" />
|
||||||
|
<xsd:attribute ref="xml:space" />
|
||||||
|
</xsd:complexType>
|
||||||
|
</xsd:element>
|
||||||
|
<xsd:element name="resheader">
|
||||||
|
<xsd:complexType>
|
||||||
|
<xsd:sequence>
|
||||||
|
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
|
||||||
|
</xsd:sequence>
|
||||||
|
<xsd:attribute name="name" type="xsd:string" use="required" />
|
||||||
|
</xsd:complexType>
|
||||||
|
</xsd:element>
|
||||||
|
</xsd:choice>
|
||||||
|
</xsd:complexType>
|
||||||
|
</xsd:element>
|
||||||
|
</xsd:schema>
|
||||||
|
<resheader name="resmimetype">
|
||||||
|
<value>text/microsoft-resx</value>
|
||||||
|
</resheader>
|
||||||
|
<resheader name="version">
|
||||||
|
<value>2.0</value>
|
||||||
|
</resheader>
|
||||||
|
<resheader name="reader">
|
||||||
|
<value>System.Resources.ResXResourceReader, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
|
||||||
|
</resheader>
|
||||||
|
<resheader name="writer">
|
||||||
|
<value>System.Resources.ResXResourceWriter, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
|
||||||
|
</resheader>
|
||||||
|
</root>
|
||||||
17
Esiur.Analysis.Test/Program.cs
Normal file
17
Esiur.Analysis.Test/Program.cs
Normal file
@ -0,0 +1,17 @@
|
|||||||
|
namespace Esiur.Analysis.Test
|
||||||
|
{
|
||||||
|
internal static class Program
|
||||||
|
{
|
||||||
|
/// <summary>
|
||||||
|
/// The main entry point for the application.
|
||||||
|
/// </summary>
|
||||||
|
[STAThread]
|
||||||
|
static void Main()
|
||||||
|
{
|
||||||
|
// To customize application configuration such as set high DPI settings or default font,
|
||||||
|
// see https://aka.ms/applicationconfiguration.
|
||||||
|
ApplicationConfiguration.Initialize();
|
||||||
|
Application.Run(new FMain());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
@ -2,9 +2,9 @@
|
|||||||
using System.Collections.Generic;
|
using System.Collections.Generic;
|
||||||
using System.Text;
|
using System.Text;
|
||||||
|
|
||||||
namespace Esiur.Analysis.Signals
|
namespace Esiur.Analysis.DSP
|
||||||
{
|
{
|
||||||
public static class DSP
|
public static class Functions
|
||||||
{
|
{
|
||||||
public static double[] ConvolveMany(params double[][] signals)
|
public static double[] ConvolveMany(params double[][] signals)
|
||||||
{
|
{
|
||||||
@ -27,9 +27,11 @@ namespace Esiur.Analysis.Signals
|
|||||||
|
|
||||||
for (var i = 0; i < length; i++)
|
for (var i = 0; i < length; i++)
|
||||||
{
|
{
|
||||||
for (var j = 0; j < signal.Length && i - j >= 0 && i - j < filter.Length; j++)
|
|
||||||
|
for (var j = 0; j < signal.Length; j++)
|
||||||
{
|
{
|
||||||
rt[i] = signal[j] * filter[i - j];
|
if (i - j >= 0 && i - j < filter.Length)
|
||||||
|
rt[i] += signal[j] * filter[i - j];
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
73
Esiur.Analysis/DSP/TransferFunction.cs
Normal file
73
Esiur.Analysis/DSP/TransferFunction.cs
Normal file
@ -0,0 +1,73 @@
|
|||||||
|
using System;
|
||||||
|
using System.Collections.Generic;
|
||||||
|
using System.Linq;
|
||||||
|
using System.Net.WebSockets;
|
||||||
|
using System.Security.Cryptography.X509Certificates;
|
||||||
|
using System.Text;
|
||||||
|
using System.Xml.Schema;
|
||||||
|
|
||||||
|
namespace Esiur.Analysis.DSP
|
||||||
|
{
|
||||||
|
public class TransferFunction
|
||||||
|
{
|
||||||
|
|
||||||
|
public double Step { get; set; }
|
||||||
|
|
||||||
|
double[] inputs;
|
||||||
|
double[] outputs;
|
||||||
|
|
||||||
|
public double[] InputCoefficients { get; set; }
|
||||||
|
public double[] OutputCoefficients { get; set; }
|
||||||
|
|
||||||
|
public TransferFunction(double[] numerator, double[] denominator, double step = 0.01)
|
||||||
|
{
|
||||||
|
inputs = new double[numerator.Length];
|
||||||
|
outputs = new double[denominator.Length];
|
||||||
|
|
||||||
|
InputCoefficients = numerator.Reverse().ToArray();
|
||||||
|
OutputCoefficients = denominator.Reverse().ToArray();
|
||||||
|
|
||||||
|
Step = step;
|
||||||
|
}
|
||||||
|
|
||||||
|
public double Evaluate(double value)
|
||||||
|
{
|
||||||
|
var xs = new double[inputs.Length];
|
||||||
|
xs[0] = value;// * InputCoefficients.Last();
|
||||||
|
|
||||||
|
|
||||||
|
// diffrentiate
|
||||||
|
for(var i = 1; i < xs.Length; i++)
|
||||||
|
xs[i] = (xs[i - 1] - inputs[i - 1]) / Step;
|
||||||
|
|
||||||
|
var ys = new double[outputs.Length];
|
||||||
|
|
||||||
|
// integrate
|
||||||
|
for (var i = outputs.Length - 2; i >= 0; i--)
|
||||||
|
{
|
||||||
|
var iy = outputs[i] + (Step * outputs[i + 1]);
|
||||||
|
if (double.IsNaN(iy) || double.IsInfinity(iy))
|
||||||
|
ys[i] = outputs[i];
|
||||||
|
else
|
||||||
|
ys[i] = iy;
|
||||||
|
}
|
||||||
|
|
||||||
|
var v = xs.Zip(InputCoefficients, (x, c) => x * c).Sum() - ys.Zip(OutputCoefficients, (y, c) => y * c).Sum();
|
||||||
|
|
||||||
|
if (double.IsNaN(v) || double.IsInfinity(v))
|
||||||
|
ys[ys.Length - 1] = outputs[ys.Length - 1];
|
||||||
|
else
|
||||||
|
ys[ys.Length - 1] = v;
|
||||||
|
|
||||||
|
inputs = xs;
|
||||||
|
outputs = ys;
|
||||||
|
|
||||||
|
return ys[0];
|
||||||
|
}
|
||||||
|
|
||||||
|
public double[] Evaluate(double[] value)
|
||||||
|
{
|
||||||
|
return value.Select(x => Evaluate(x)).ToArray();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
@ -3,6 +3,7 @@
|
|||||||
<PropertyGroup>
|
<PropertyGroup>
|
||||||
<TargetFramework>netstandard2.1</TargetFramework>
|
<TargetFramework>netstandard2.1</TargetFramework>
|
||||||
<Nullable>enable</Nullable>
|
<Nullable>enable</Nullable>
|
||||||
|
<AllowUnsafeBlocks>True</AllowUnsafeBlocks>
|
||||||
</PropertyGroup>
|
</PropertyGroup>
|
||||||
|
|
||||||
<ItemGroup>
|
<ItemGroup>
|
||||||
@ -12,11 +13,14 @@
|
|||||||
<ItemGroup>
|
<ItemGroup>
|
||||||
<Folder Include="Processing\" />
|
<Folder Include="Processing\" />
|
||||||
<Folder Include="Signals\Modulation\" />
|
<Folder Include="Signals\Modulation\" />
|
||||||
<Folder Include="Optimization\" />
|
|
||||||
</ItemGroup>
|
</ItemGroup>
|
||||||
|
|
||||||
<ItemGroup>
|
<ItemGroup>
|
||||||
<None Include="Fuzzy\FuzzyRule.cs" />
|
<None Include="Fuzzy\FuzzyRule.cs" />
|
||||||
</ItemGroup>
|
</ItemGroup>
|
||||||
|
|
||||||
|
<ItemGroup>
|
||||||
|
<ProjectReference Include="..\Esiur\Esiur.csproj" />
|
||||||
|
</ItemGroup>
|
||||||
|
|
||||||
</Project>
|
</Project>
|
||||||
|
|||||||
135
Esiur.Analysis/Optimization/Genetic.cs
Normal file
135
Esiur.Analysis/Optimization/Genetic.cs
Normal file
@ -0,0 +1,135 @@
|
|||||||
|
using Esiur.Data;
|
||||||
|
using Esiur.Resource;
|
||||||
|
using System;
|
||||||
|
using System.Collections.Generic;
|
||||||
|
using System.Diagnostics;
|
||||||
|
using System.Linq;
|
||||||
|
using System.Reflection;
|
||||||
|
using System.Security.Cryptography.X509Certificates;
|
||||||
|
using System.Text;
|
||||||
|
|
||||||
|
namespace Esiur.Analysis.Optimization
|
||||||
|
{
|
||||||
|
public class Genetic<T> where T : unmanaged
|
||||||
|
{
|
||||||
|
|
||||||
|
Random rand = new Random();
|
||||||
|
|
||||||
|
public static unsafe byte[] Encode(in T value)
|
||||||
|
{
|
||||||
|
byte[] result = new byte[sizeof(T)];
|
||||||
|
fixed (byte* dst = result)
|
||||||
|
*(T*)dst = value;
|
||||||
|
return result;
|
||||||
|
}
|
||||||
|
|
||||||
|
public static unsafe T Decode(byte[] data)
|
||||||
|
{
|
||||||
|
fixed (byte* src = data)
|
||||||
|
return *(T*)src;
|
||||||
|
}
|
||||||
|
|
||||||
|
public List<T> Population = new List<T>();
|
||||||
|
|
||||||
|
public int PopulationSize { get; set; }
|
||||||
|
private int DataSize { get; set; }
|
||||||
|
|
||||||
|
public Func<T, double> FitnessFunction { get; set; }
|
||||||
|
|
||||||
|
public unsafe Genetic(int populationSize, Func<T, double> fitnessFunction)
|
||||||
|
{
|
||||||
|
FitnessFunction = fitnessFunction;
|
||||||
|
PopulationSize = populationSize;
|
||||||
|
DataSize = sizeof(T);
|
||||||
|
}
|
||||||
|
|
||||||
|
void GeneratePopultation()
|
||||||
|
{
|
||||||
|
for (var i = 0; i < PopulationSize; i++)
|
||||||
|
{
|
||||||
|
byte[] buffer = new byte[DataSize];
|
||||||
|
rand.NextBytes(buffer);
|
||||||
|
var record = Decode(buffer);
|
||||||
|
Population.Add(record);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
KeyValuePair<T, double>[] GetFitness()
|
||||||
|
{
|
||||||
|
var rt = new List<KeyValuePair<T, double>>();
|
||||||
|
|
||||||
|
foreach (var record in Population)
|
||||||
|
rt.Add(new KeyValuePair<T, double>( record, FitnessFunction(record)));
|
||||||
|
|
||||||
|
return rt.ToArray();
|
||||||
|
}
|
||||||
|
|
||||||
|
T Mate(T parent1, T parent2)
|
||||||
|
{
|
||||||
|
var dp1 = Encode(parent1);
|
||||||
|
var dp2 = Encode(parent2);
|
||||||
|
|
||||||
|
var dc = new byte[dp1.Length];
|
||||||
|
|
||||||
|
|
||||||
|
for (var i = 0; i < dc.Length; i++)
|
||||||
|
{
|
||||||
|
var prop = rand.NextDouble();
|
||||||
|
if (prop < 0.45)
|
||||||
|
dc[i] = dp1[i];
|
||||||
|
else if (prop < 0.9)
|
||||||
|
dc[i] = dp2[i];
|
||||||
|
else
|
||||||
|
dc[i] = (byte)rand.Next(0, 255);
|
||||||
|
}
|
||||||
|
|
||||||
|
return Decode(dc);
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
public T Evaluate(int maxIterations)
|
||||||
|
{
|
||||||
|
GeneratePopultation();
|
||||||
|
|
||||||
|
var generation = 0;
|
||||||
|
|
||||||
|
T best;
|
||||||
|
|
||||||
|
do
|
||||||
|
{
|
||||||
|
var ordered = GetFitness().OrderBy(x => x.Value).ToArray();
|
||||||
|
|
||||||
|
best = ordered[0].Key;
|
||||||
|
|
||||||
|
if (ordered[0].Value == 0)
|
||||||
|
break;
|
||||||
|
|
||||||
|
// Elitism selection ( 10% of fittest population )
|
||||||
|
|
||||||
|
var eliteCount = (int)(ordered.Length * 0.1);
|
||||||
|
var neededCount = (int)(ordered.Length * 0.9);
|
||||||
|
|
||||||
|
var newGeneration = ordered.Select(x => x.Key).Take(eliteCount).ToList();
|
||||||
|
|
||||||
|
for (var i = 0; i < neededCount; i++)
|
||||||
|
{
|
||||||
|
var p1 = Population[rand.Next(0, PopulationSize / 2)];
|
||||||
|
var p2 = Population[rand.Next(0, PopulationSize / 2)];
|
||||||
|
|
||||||
|
var offspring = Mate(p1, p2);
|
||||||
|
newGeneration.Add(offspring);
|
||||||
|
}
|
||||||
|
|
||||||
|
Population = newGeneration;
|
||||||
|
|
||||||
|
Debug.WriteLine($"Gen {generation} Fittest: {ordered.First().Value} {ordered.First().Key.ToString()} ");
|
||||||
|
} while (generation++ < maxIterations);
|
||||||
|
|
||||||
|
Debug.WriteLine($"Gen {generation} Best: {best.ToString()} ");
|
||||||
|
|
||||||
|
return best;
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
}
|
||||||
@ -33,7 +33,13 @@ namespace Esiur.Analysis.Statistics
|
|||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
public static double RMS(this double[] x) => Math.Sqrt(x.Sum(x => x * x) / x.Length);
|
public static double RMS(this double[] x)
|
||||||
|
{
|
||||||
|
var r = Math.Sqrt(x.Sum(x => x * x) / x.Length);
|
||||||
|
if (double.IsNaN(r))
|
||||||
|
Console.WriteLine();
|
||||||
|
return r;
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
public static double Correlation(this double[] x, double[] y)
|
public static double Correlation(this double[] x, double[] y)
|
||||||
|
|||||||
@ -10,7 +10,9 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Esiur.Stores.EntityCore", "
|
|||||||
EndProject
|
EndProject
|
||||||
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Test", "Test\Test.csproj", "{331F82B6-6B90-4533-9718-F7C8090D8F19}"
|
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Test", "Test\Test.csproj", "{331F82B6-6B90-4533-9718-F7C8090D8F19}"
|
||||||
EndProject
|
EndProject
|
||||||
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Esiur.Analysis", "Esiur.Analysis\Esiur.Analysis.csproj", "{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}"
|
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Esiur.Analysis", "Esiur.Analysis\Esiur.Analysis.csproj", "{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}"
|
||||||
|
EndProject
|
||||||
|
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Esiur.Analysis.Test", "Esiur.Analysis.Test\Esiur.Analysis.Test.csproj", "{72115ABD-BD54-4E88-8DB6-B2A953F57F0A}"
|
||||||
EndProject
|
EndProject
|
||||||
Global
|
Global
|
||||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||||
@ -38,6 +40,10 @@ Global
|
|||||||
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Debug|Any CPU.Build.0 = Debug|Any CPU
|
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Debug|Any CPU.Build.0 = Debug|Any CPU
|
||||||
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Release|Any CPU.ActiveCfg = Release|Any CPU
|
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Release|Any CPU.ActiveCfg = Release|Any CPU
|
||||||
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Release|Any CPU.Build.0 = Release|Any CPU
|
{8D52DEEA-B7E8-4C93-9B6C-EDB9C2D25211}.Release|Any CPU.Build.0 = Release|Any CPU
|
||||||
|
{72115ABD-BD54-4E88-8DB6-B2A953F57F0A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
|
||||||
|
{72115ABD-BD54-4E88-8DB6-B2A953F57F0A}.Debug|Any CPU.Build.0 = Debug|Any CPU
|
||||||
|
{72115ABD-BD54-4E88-8DB6-B2A953F57F0A}.Release|Any CPU.ActiveCfg = Release|Any CPU
|
||||||
|
{72115ABD-BD54-4E88-8DB6-B2A953F57F0A}.Release|Any CPU.Build.0 = Release|Any CPU
|
||||||
EndGlobalSection
|
EndGlobalSection
|
||||||
GlobalSection(SolutionProperties) = preSolution
|
GlobalSection(SolutionProperties) = preSolution
|
||||||
HideSolutionNode = FALSE
|
HideSolutionNode = FALSE
|
||||||
|
|||||||
@ -56,53 +56,6 @@ namespace Test
|
|||||||
{
|
{
|
||||||
static async Task Main(string[] args)
|
static async Task Main(string[] args)
|
||||||
{
|
{
|
||||||
//var outage = Capacity.ComputeOutage(20000000, new Capacity.CSI[]
|
|
||||||
//{
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(20), 0.1),
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(15), 0.15),
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(10), 0.25),
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(5), 0.25),
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(0), 0.15),
|
|
||||||
// new Capacity.CSI(PowerUnit.FromDb(-5), 0.1),
|
|
||||||
//});
|
|
||||||
var outage = Capacity.ComputeOutage(1, new Capacity.CSI[]
|
|
||||||
{
|
|
||||||
new Capacity.CSI(PowerUnit.FromDb(30), 0.2),
|
|
||||||
new Capacity.CSI(PowerUnit.FromDb(20), 0.3),
|
|
||||||
new Capacity.CSI(PowerUnit.FromDb(10), 0.3),
|
|
||||||
new Capacity.CSI(PowerUnit.FromDb(0), 0.2),
|
|
||||||
});
|
|
||||||
|
|
||||||
|
|
||||||
var low = new ContinuousSet(MembershipFunctions.Descending(20, 40));
|
|
||||||
var mid = new ContinuousSet(MembershipFunctions.Triangular(20, 40, 60));
|
|
||||||
var high = new ContinuousSet(MembershipFunctions.Ascending(40, 60));
|
|
||||||
|
|
||||||
var bad = new ContinuousSet(MembershipFunctions.Descending(0, 30));
|
|
||||||
var ok = new ContinuousSet(MembershipFunctions.Triangular(20, 50, 80));
|
|
||||||
var excelent = new ContinuousSet(MembershipFunctions.Ascending(70, 100));
|
|
||||||
|
|
||||||
var small = new ContinuousSet(MembershipFunctions.Descending(100, 200));
|
|
||||||
var avg = new ContinuousSet(MembershipFunctions.Triangular(100, 200, 300));
|
|
||||||
var big = new ContinuousSet(MembershipFunctions.Ascending(200, 300));
|
|
||||||
|
|
||||||
//var speedIsLowThenSmall = new FuzzyRule("Low=>Small", low, small);
|
|
||||||
|
|
||||||
double rating = 80;
|
|
||||||
|
|
||||||
for (double temp = 60; temp < 100; temp++)
|
|
||||||
{
|
|
||||||
var v = MamdaniDefuzzifier.Evaluate(new INumericalSet<double>[]
|
|
||||||
{
|
|
||||||
temp.Is(low).And(rating.Is(bad)).Then(small),
|
|
||||||
temp.Is(mid).And(rating.Is(ok)).Then(avg),
|
|
||||||
temp.Is(high).And(rating.Is(excelent)).Then(big),
|
|
||||||
}, MamdaniDefuzzifierMethod.CenterOfGravity, 100, 300, 1);
|
|
||||||
|
|
||||||
|
|
||||||
Console.WriteLine(temp + " " + v);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Create stores to keep objects.
|
// Create stores to keep objects.
|
||||||
var system = await Warehouse.Put("sys", new MemoryStore());
|
var system = await Warehouse.Put("sys", new MemoryStore());
|
||||||
var server = await Warehouse.Put("sys/server", new DistributedServer());
|
var server = await Warehouse.Put("sys/server", new DistributedServer());
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user