Simulink for System and Algorithm Modeling

This two-day 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 simulating 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.

See detailed course outline

Prerequisites

MATLAB Fundamentals

Day 1 of 2
Creating and Simulating a Model	Objective: Create a simple Simulink model, simulate it, and analyze the results. Introduction to the Simulink interface Potentiometer system System inputs and outputs Simulation and analysis
Modeling Programming Constructs	Objective: Model and simulate basic programming constructs in Simulink. Comparisons and decision statements Vector signals PWM conversion system Zero crossings MATLAB Function block
Modeling Discrete Systems	Objective: Model and simulate discrete systems in Simulink. Discrete signals and states PI controller system Discrete transfer functions and state-space systems Multirate discrete systems
Modeling Continuous Systems	Objective: Model and simulate continuous systems in Simulink. Continuous states Throttle system Continuous transfer functions and state-space systems Physical boundaries

Day 2 of 2
Solver Selection	Objective: Select a solver that is appropriate for a given Simulink model. Solver behavior System dynamics Discontinuities Algebraic loops
Developing Model Hierarchy	Objective: Use subsystems to combine smaller systems into larger systems. Subsystems Bus signals Masks
Modeling Conditionally Executed Algorithms	Objective: Create subsystems that are executed based on a control signal input. Conditionally executed subsystems Enabled subsystems Triggered subsystems Input validation model
Combining Models into Diagrams	Objective: Use model referencing to combine models. Subsystems and model referencing Model referencing workflow Model reference simulation modes Model workspaces Model dependencies
Creating Libraries	Objective: Use libraries to create and distribute custom blocks. Creating and populating libraries Managing library links Adding a library to the Simulink Library Browser

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

Results 1 - 2 of 2

Dates	Location	Language	Price	Register
11 Sep 2019- 12 Sep 2019	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 1,300
14 Nov 2019- 15 Nov 2019	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 1,300

Results 1 - 2 of 2

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