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Course
Highlights
This two-day, hands-on course provides a working understanding
of system and algorithm modeling and design validation in
SIMULINK.
Course
Description
This course targets engineers who are new to system and algorithm
modeling and design validation in the SIMULINK environment.
It applies basic modeling techniques and tools to developing
SIMULINK block diagrams, including:
- Modeling
continuous-time, single- and multirate discrete-time, and
hybrid systems
- Understanding model hierarchy
- Executing a condition-based system
- Automating model simulations
- Developing custom blocks and libraries
Course
Objectives
- To provide participants with the fundamentals and hands-on
experience in using SIMULINK
- To gain an understanding of the purpose and applications
of SIMULINK in order to explore advance applications topics
with confidence in due course
Prerequisites
Attended "MATLAB for Technical Computing"
or equivalent experience using MATLAB.
Course
Outline
Introduction
Building the Model
Objective: learn how to build simple SIMULINK models
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Introducing the SIMULINK Library Browser
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Creating a new block diagram
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Editing the block diagram
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Setting block parameters and properties
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Labeling blocks and signals
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Modifying the diagram
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Saving and opening the model
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Printing the model
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Creating subsystems
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Branching and combining signals
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Creating scalar input and output signals
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Running the model using default parameters
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Setting basic simulation options
Working with Signals
Objective: learn how to represent signals in SIMULINK models
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Introducing
the Model Explorer
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Setting basic simulation options
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Viewing signals with the scope
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Creating vector and matrix signals
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Creating and selecting bus signals
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Displaying signal properties
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Converting signal data types
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Working
with fixed-point data types
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Setting scope properties
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Reference: Working with floating scope
Working with MATLAB
Objective: learn how to work with MATLAB and SIMULINK
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Defining parameters in the MATLAB base workspace
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Loading
input signals from the workspace
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Loading input signals from MAT-files
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Saving simulation results to the workspace
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Saving simulation results to a MAT-file
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Setting model property callbacks
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Simulating the model from MATLAB
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Iterating model simulations
Modeling Arithmetic and Logical Algorithms
Objective: learn how to model arithmetic and logical algorithms
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Defining stateless system characteristics
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Modeling logical components
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Working with zero crossings
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Working with lookup tables and the Lookup Table Editor
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Working
with fcn and embedded MATLAB function blocks
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Steps for modeling a stateless system
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Handling algebraic loops
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Troubleshooting the model using the SIMULINK debugger
Modeling Discrete Systems
Objective: learn how to model discrete systems based on difference
equations
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Defining discrete-state dynamic system characteristics
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Introducing the discrete solvers
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Modeling difference equations
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Modeling linear discrete-state systems
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Choosing appropriate solver options for single-rate model
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Troubleshooting discrete-state system using the SIMULINK debugger
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Modeling multirate discrete-state systems
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Choosing appropriate solver options for multirate models
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Introducing single- and multitasking options
Modeling Continuous and Hybrid Systems
Objective: learn how to model continuous systems and hybrid
systems based on differential and difference equations
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Defining continuous-state dynamic system characteristics
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Introducing the continuous solvers
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Modeling ordinary differential equations
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Exploring
advanced integrator options
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Modeling linear continuous-state systems
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Choosing
appropriate solver options for continuous systems
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Troubleshooting continuous-state systems using the SIMULINK
debugger
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Defining hybrid system characteristics
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Modeling hybrid systems
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Choosing appropriate solver options for hybrid systems
Working with Subsystems
Objective: learn how to model conditionally executed and
event-driven subsystems
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Reviewing the block execution order
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Reviewing zero crossings
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Modeling signal-driven systems
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Modeling condition-driven systems with enabled subsystems
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Modeling event-driven systems with triggered subsystem
Developing Custom Blocks and Libraries
Objective: learn how to develop custom blocks using the Mask
Editor and create user-defined libraries
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Masking subsystems: Creating custom block parameters dialogs
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Masking subsystems: Creating custom block icons
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Masking subsystems: Generating block documentation links
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Creating a new custom library
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Adding a custom library to the SIMULINK Library Browser
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Integrating external models using the Model Reference block
Exercises
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Practice exercises
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Application-specific exercises
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Case studies
Who
Must Attend
This hands-on course is designed for engineers who are new
to the SIMULINK environment. Engineers, researchers, scientists,
and managers working with systems level design will be shown
an easy-to-use approach in using SIMULINK.
Course
Benefits
Upon
the completion of the course, the participants will gain a
comprehensive understanding of system and algorithm modeling
and design validation in SIMULINK, which is useful for designing
and building their systems.
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