Training - Courses

SL01: Simulink for System and Algorithm Modeling

This course is for engineers who are new to system and algorithm modeling and design validation in Simulink®. It demonstrates how to apply basic modeling techniques and tools to develop Simulink block diagrams. Topics include:

Creating and modifying Simulink models and simulate system dynamics
Modeling continuous-time, discrete-time, and hybrid systems
Modifying solver settings for simulation accuracy and speed
Building hierarchy into a Simulink model
Creating reusable model components using subsystems, libraries, and model references

If your application is signal processing or communications, please refer to the Simulink for Signal Processing course (SG02).

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	Detailed course outline

Course Outline - Part 1
Introduction	Objective: Obtain a quick overview of The MathWorks and discuss course logistics.
Introduction to System Modeling	Objective:Become familiar with system modeling in Simulink and the electronic throttle control system. System modeling in the Simulink environment Electronic throttle control model
Creating and Simulating a Model	Objective: Create a simple Simulink model, run simulations, and analyze the results. Define the potentiometer system Become familiar with the Simulink interface Create a Simulink model of the potentiometer system Run simulations and analyze results
Modeling Programming Constructs	Objective: Use Simulink to model and simulate basic programming constructs. Model comparisons and decision statements Create and use vector signals Use the Embedded MATLAB Function block
Modeling Discrete Systems	Objective: Use Simulink to model and simulate discrete systems. Define discrete states Create a model of a PI controller Model discrete transfer functions and state space systems Model multirate discrete systems
Modeling Continuous Systems	Objective: Use Simulink to model and simulate continuous systems. Define the throttle system Create a model for the throttle system Define continuous states Run simulations and analyze results Model impact dynamics

Course Outline - Part 2
Solver Selection	Objective: Select a solver that is appropriate for a given Simulink model. Solver options Discrete solvers Continuous solvers Zero-crossing detection Algebraic loops
Developing Model Hierarchy	Objective: Use subsystems to combine smaller systems into larger systems. Subsystems Bus signals Masks
Combining Models into Diagrams	Objective: Use model reference to combine models. Overview of model referencing and subsystems Set up a model reference Use model reference simulation modes View signals in referenced models Store parameters in referenced models
Creating Libraries	Objective: Use libraries to create and distribute custom blocks. Create new libraries Create configurable subsystems Add libraries to the Library Browser Compare libraries and model references
Introduction to Model-Based Design	Objective: Discuss how the Simulink environment can be used for Model-Based Design. Traditional system design process Model-Based Design in the Simulink environment
Conclusion	Objective: Find resources for further information and training on the topic. Evaluate the class. Resources Related training courses Evaluations

Prerequisites

Knowledge of MATLAB basics.

Class Times:

January 25 - 26, 2010 - 8:30 - 4:30 EST

March 30-31, 2010 - 8:30 - 4:30 EST

Please Note: A 1 hour test session will be scheduled before the first day of class. This test session will cover viewing and audio troubleshooting as well as software installation (content will be presented during the remaining days). It is highly recommended that you attend this session to ensure a successful start to the class.

Course Length - 4 half-days

Price - $1,100.00

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Training - Courses

SL01: Simulink for System and Algorithm Modeling

Prerequisites

2009 Training Course Brochure

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