Capabilities for Modeling Dynamic Systems
Explore what is possible with MATLAB and Simulink
Explore capabilities:
- Transfer Function - What Is a Transfer Function? - Discovery
- State Space
- What Is State Space? - Documentation
- Uncertain State-Space Model - Function
- Sparse First-Order State-Space Model - Function
- Sparse Second-Order State-Space Model - Function
- Linear Parameter Varying - LPV and LTV Models - Documentation
- Time Series (ARX, ARMA) - Time Series Analysis - Documentation
- ZPK - Zero-Pole-Gain Model - Function
- Frequency Response Data - Frequency Response Data Models - Documentation
- ODEs
- Getting Started with Simulink for a Control System (11:30) - Video
- Thermal Model of a House in Simulink - Example
- ODEs with Symbolic Math - Documentation
- Solving ODEs in MATLAB - Video Series
- Neural State Space
- Neural State-Space Models - Documentation
- Reduced Order Modeling for Jet Engine Turbine Blade (8:14) - Video
- Hammerstein-Wiener - Hammerstein-Wiener Models - Documentation
- NLARX
- Nonlinear ARX Models - Documentation
- Use Physics-Inspired Estimators for Estimating Nonlinear Dynamics (5:31) - Video
- Gaussian Process - Gaussian Process Regression Mapping Function - Function
- Support Vector Machine - Support Vector Machine Regression Mapping Function - Function
- Regression Tree - Decision Tree Ensemble Mapping Function - Function
- Neural Network - Multilayer Neural Network Mapping Function - Function
- Functional Mockup Unit - FMU Importing - Documentation
- S-Functions - What Is an S-Function? - Documentation
- Python Importers
- Integrate Python Code with Simulink - Documentation
- Import Pretrained Networks from External Platforms - Documentation
- Call Python from MATLAB - Documentation
- First Principles
- ODEs in MATLAB - Documentation
- ODEs in Simulink - Documentation
- Physical Modeling - Physical Modeling - Solution
- Parameter Estimation App - Parameter Estimator - App
- Grey Box ODEs - Grey-Box Model Estimation - Documentation
- Parameter Estimation in Simulink
- Estimate Model Parameters and Initial States from Data - Documentation
- How to Estimate Model Parameters from Test Data with Simulink (4:13) - Video
- System Identification App - System Identification - App
- Data Preparation - Data Preparation - Documentation
- Offline Estimation
- Linear Model Identification - Documentation
- Nonlinear Model Identification - Documentation
- Model Analysis - Model Analysis - Documentation
- Online Estimation - Online Parameter Estimation - Documentation
- Model Transformation - Model Transformation - Documentation
- Model Type - Model Type Conversion - Documentation
- Continuous-Discrete - Continuous-Discrete Conversion - Documentation
- State-Coordinate - State-Coordinate Transformation - Documentation
- Modal Decomposition - Modal and Spectral Decompositions
- Linearization
- Linearization Basics - Documentation
- What Is Linearization? - Documentation
- Numerical Perturbation - Linearization Methods - Documentation
- Block-by-Block - Exact Linearization Algorithm - Documentation
- Frequency Response Estimation - Estimate and Examine Frequency Response Characteristics - Documentation
- Model Linearizer App - Model Linearizer - App
- Reduced Order Modeling
- What Is Reduced Order Modeling? - Discovery
- Reduced Order Modeler - App
- Balanced Truncation - Balanced Truncation Model Reduction - Documentation
- Pole-Zero Simplification - Pole-Zero Simplification - Documentation
- Model Reducer App
- Model Reducer - App
- Model Order Reduction with the Model Reducer App (4:57) - Video
- Data-Driven ROM
- Reduced Order Modeling - Video Series
- Reduce Complexity of Models by Creating Accurate Surrogates - Documentation
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