MATLAB and Simulink Training

Course Details

This two-day course, targeted toward new users of Simulink, uses basic modeling techniques and tools to demonstrate how to develop Simulink block diagrams for mixed signal applications. Topics include:
  • Using the Simulink interface
  • Modeling discrete dynamic systems
  • Modeling mixed-signal (hybrid) systems
  • Developing custom blocks and libraries
  • Modeling condition-based systems
  • Performing measurements using built in blocks
  • Using test benches to test mixed signal systems
  • Using control design techniques for bode plot analysis and linearization
  • Automating Simulink tasks

Day 1 of 2

Creating and Simulating a Model

Objective: Explore the Simulink interface and block libraries. Build a simple model and analyze the simulation results.

  • Creating and editing a Simulink model
  • Defining system inputs and outputs
  • Simulating models and analyzing results

Modeling Discrete Dynamic Systems

Objective: Model discrete dynamic systems and visualize frame-based signals using a scope.

  • Modeling a discrete system with basic blocks
  • Finding sample times of block outputs
  • Using frames in your model
  • Using buffers
  • Viewing frame-based signals
  • Behavior of delay blocks with frame-based signals
  • Using the discrete filter block
  • Designing analog and decimation/interpolation filters

Modeling Logical Constructs

Objective: Model logical expressions. See how zero-crossing detection is used in Simulink and model simple logic in Simulink using MATLAB code.

  • Modeling logical expressions
  • Modeling conditional signal routing
  • Understanding zero-crossing detection
  • Modeling with the MATLAB Function block

Mixed-Signal Models

Objective: Model mixed-signal systems.

  • What is a mixed-signal model?
  • Modeling an ADC with aperture jitter and nonlinearity
  • Case study: Modeling TI's ADS62P29 ADC
  • Modeling a PLL with phase noise and other impairments
  • Using blocks from the Mixed-Signal Blockset

Day 2 of 2

Simulink Solvers

Objective: Choose the right solver for a Simulink model.

  • Understanding the Simulink solver
  • Solving simple models
  • Solving models with discrete and continuous states
  • Solving models with multiple rates
  • Fixed-step and variable-step solvers
  • Choosing a continuous-state system solver
  • Handling zero crossings
  • Handling algebraic loops
  • Case study: Solver profiler for PLL simulation

Subsystems and Libraries

Objective: Create custom blocks in Simulink, apply masks, and develop custom libraries.

  • Creating subsystems
  • Understanding virtual and atomic subsystems
  • Modeling condition-driven systems with enabled subsystems
  • Modeling condition-driven systems with triggered subsystems
  • Using a subsystem as a model component
  • Masking subsystems
  • Creating custom block libraries
  • Working with and modifying library blocks
  • Adding custom libraries to the Simulink Library Browser
  • Creating configurable subsystems

Testbenches and Measurements

Objective: Perform spectral analysis in Simulink, use testbenches from the Mixed-Signal Blockset to evaluate performance.

  • Performing spectral analysis with the Spectrum Scope block
  • Choosing spectral analysis parameters
  • Using the logic analyzer
  • Measuring Phase Noise, INL, DNL, Jitter
  • Using testbenches from the Mixed Signal Blockset

Control Design Analysis

Objective: Create Bode plots, perform linearization, use the Control System Designer app, control and run Simulink models from the MATLAB command line.

  • Creating and analyzing bode plots
  • Performing Linearization
  • Using the Control System Designer
  • Automating test runs
  • Checking and modifying parameter settings
  • Finding blocks with specific parameter values
  • Constructing and modifying block diagrams

Level: Intermediate


  • MATLAB Fundamentals and basic knowledge of digital signal processing and mixed signal design.

Duration: 2 days

Languages: English, 日本語

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