Coronavirus Disease 2019 (COVID-19) Update

Due to heightened concerns regarding the outbreak of COVID-19, we are adding more instructor-led online training courses as an alternative to classroom courses.

Course Schedule

Prerequisites

MATLAB Fundamentals for Aerospace Applications

Simulink for Aerospace System Design

Based on the Simulink for System and Algorithm Modeling outline, this course is for aerospace engineers who are new to system and algorithm modeling and teaches attendees how to validate designs using Simulink^®. 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

See detailed course outline

Prerequisites

MATLAB Fundamentals for Aerospace Applications

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.

MATLAB and Simulink Course Schedule

There are currently no scheduled classes for this course.