Model analytics creates insight by analyzing simulation data, using everything from general visualization and summarization to specialized and dedicated analysis functionality. The Wolfram Language makes custom analysis for specific domains or use cases easy. Model design attempts to change or improve system behavior by modifying or optimizing system inputs, parameters or other properties of the system. Advanced simulation control in combination with powerful Wolfram Language features provides a rich environment for such optimizations and design.

WSMExamples — explore simulation-ready examples

Model Exploration

WSMModelData — find detailed properties for models and components

WSMNames — list available models and components

Model Simulation »

WSMSimulate — simulate a model

WSMSimulationData — retrieve and analyze the full simulation data for a model

WSMSimulateSensitivity  ▪  WSMParameterValues  ▪  WSMRealTimeSimulate  ▪  ...

Model & Data Visualization

WSMPlot — plot simulation data

ParametricPlot — plot parametric simulation data

WSMSetPlot  ▪  WSMClearPlot  ▪  WSMRealTimePlot

Plot  ▪  ListLinePlot  ▪  LogPlot  ▪  ...

Model Workflows

WSMCreateTemplateNotebook — create notebooks to quickly get started with a task

WSMCreateTemplateCells — insert cells to quickly get started with a task

Optimization »

WSMParametricSimulateValue — simulate for parameter variation, optimization, etc.

WSMParametricFunction  ▪  NMinimize  ▪  FindMinimum  ▪  NMaximize  ▪  ...

Control Systems »

WSMLinearize — linearize a model

WSMFindEquilibrium — find equilibrium points for nonlinear models

StateSpaceModel  ▪  TransferFunctionModel  ▪  PIDTune  ▪  BodePlot  ▪  ...

Reliability Analysis »

WSMModelReliability — compute model reliability

ReliabilityDistribution  ▪  SurvivalFunction  ▪  StructuralImportance  ▪  ...