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Main Content


EXAMPLES




MATLAB


BASIC MATRIX OPERATIONS

Basic techniques and functions for working with matrices in the MATLAB®
language.

Open Live Script



FOURIER TRANSFORMS

The Fourier transform is a powerful tool for analyzing data across many
applications, including Fourier analysis for signal processing.

Open Live Script



CREATE COMMON 2-D PLOTS

Create a variety of 2-D plots in MATLAB®.

Open Live Script



INTRODUCTION TO THE LIVE EDITOR

An introduction to the Live Editor. In the Live Editor, you can create live
scripts that show output together with the code that produced it. Add formatted
text, equations, images, and hyperlinks to enhance your narrative, and share the
live script with others as an interactive document.

Open Live Script



READ SPREADSHEET DATA INTO TABLE

The best way to represent tabular spreadsheet data in MATLAB is in a table since
tables can store heterogeneous (a mix of numeric and text) data, as well as
variable and row names.

Open Live Script



ANALYZE BIG DATA IN MATLAB USING TALL ARRAYS

Use tall arrays to work with big data in MATLAB®. You can use tall arrays to
perform a variety of calculations on different types of data that does not fit
in memory. These include basic calculations, as well as machine learning
algorithms within Statistics and Machine Learning Toolbox™.

Open Live Script



APP THAT CALCULATES AND PLOTS DATA BASED ON NUMERICAL INPUT

Example of an App Designer app that uses a button callback to display a line
plot.

Open App



VIEW MORE
MATLAB
EXAMPLES


SIMULINK


MODELING AN AUTOMATIC TRANSMISSION CONTROLLER

Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink
model with its representation of the transmission control logic. Simulink
provides a powerful environment for the modeling and simulation of dynamic
systems and processes. In many systems, though, supervisory functions like
changing modes or invoking new gain schedules must respond to events that may
occur and conditions that develop over time. As a result, the environment
requires a language capable of managing these multiple modes and developing
conditions. In the following example, Stateflow shows its strength in this
capacity by performing the function of gear selection in an automatic
transmission. This function is combined with the drivetrain dynamics in a
natural and intuitive manner by incorporating a Stateflow block in the Simulink
block diagram.

Open Model



SIMULATION OF A BOUNCING BALL

Use two different approaches to modeling a bouncing ball using Simulink®.

Open Model



MODELING A FAULT-TOLERANT FUEL CONTROL SYSTEM

Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type
of modeling is particularly useful for systems that have numerous possible
operational modes based on discrete events. Traditional signal flow is handled
in Simulink while changes in control configuration are implemented in Stateflow.
The model described below represents a fuel control system for a gasoline
engine. The system is highly robust in that individual sensor failures are
detected and the control system is dynamically reconfigured for uninterrupted
operation.

Open Model



AIRCRAFT LONGITUDINAL FLIGHT CONTROL

Model flight control for the longitudinal motion of an aircraft. First order
linear approximations of the aircraft and actuator behavior are connected to an
analog flight control design that uses the pilot's stick pitch command as the
set point for the aircraft's pitch attitude and uses aircraft pitch angle and
pitch rate to determine commands. A simplified Dryden wind gust model is
incorporated to perturb the system.

Open Model



ANTI-WINDUP CONTROL USING A PID CONTROLLER

Use anti-windup schemes to prevent integration wind-up in PID controllers when
the actuators are saturated. We use the PID Controller block in Simulink® which
features two built-in anti-windup methods, back-calculation and clamping, as
well as a tracking mode to handle more complex scenarios.

Open Model



SINGLE HYDRAULIC CYLINDER SIMULATION

Use Simulink® to model a hydraulic cylinder. You can apply these concepts to
applications where you need to model hydraulic behavior. See two related
examples that use the same basic components: four cylinder model and two
cylinder model with load constraints. Note: This is a basic hydraulics example.
You can more easily build hydraulic and automotive models using Simscape™
Driveline™ and Simscape Fluids™.

Open Model



RADAR TRACKING USING MATLAB FUNCTION BLOCK

Use an extended Kalman filter with the MATLAB® Function block in Simulink® to
estimate an aircraft's position from radar measurements. The filter
implementation is found in the MATLAB Function block, the contents of which are
stored in the Simulink model itself.

Open Model



APPROXIMATING NONLINEAR RELATIONSHIPS: TYPE S THERMOCOUPLE

Approximate nonlinear relationships of a type S thermocouple.

Open Model



SIMULATING AUTOMATIC CLIMATE CONTROL SYSTEMS

Simulate an automatic climate control system in a car using Simulink® and
Stateflow®. In the User Setpoint in Celsius block, enter a value for the desired
air temperature in the car.

Open Model



MODELING AN ANTI-LOCK BRAKING SYSTEM

Model a simple model for an Anti-Lock Braking System (ABS). It simulates the
dynamic behavior of a vehicle under hard braking conditions. The model
represents a single wheel, which may be replicated a number of times to create a
model for a multi-wheel vehicle.

Open Model



AIR TRAFFIC CONTROL RADAR DESIGN

Model a conceptual air traffic control (ATC) radar simulation based on the radar
range equation.

Open Model



VARIANT SUBSYSTEMS

Learn basic functionality of variant subsystems.

Open Script



COMPONENT-BASED MODELING WITH MODEL REFERENCE

Walks you through simulation and code generation of a model that references
another model multiple times. In this example, Simulink® generates code for
accelerated simulation, and Simulink® Coder™ generates code that can be deployed
in standalone applications.

Open Model



INTRODUCTION TO ACCELERATING MODELS

Simulink® Accelerator™ speeds up the execution of your model, by creating and
compiling C code. This C code takes the place of the interpretive code that
Simulink uses when in Normal mode (that is, when Simulink® is not in Accelerator
mode). Simulink Accelerator generates the C code from the Simulink model and
invokes the MATLAB® mex function to compile and dynamically link the generated
code to Simulink. This code generation and compilation process happens the first
time you accelerate the model and any time the model changes are significant
enough to require re-generation (for example, the addition of a block).

Open Model



PARALLEL SIMULATIONS USING PARSIM: PARAMETER SWEEP IN RAPID ACCELERATOR MODE

Run multiple simulations of a Monte Carlo study in parallel by using Parallel
Computing Toolbox™. Parallel execution leverages the multiple cores of your host
machine to run many simulations more quickly. These simulations could also be
run in parallel on computer clusters using the MATLAB Parallel Server™. This
example will work even if the Parallel Computing Toolbox™ or the MATLAB Parallel
Server™ is not available, but the simulations will run in serial.

Open Model



DESIGNING A HIGH ANGLE OF ATTACK PITCH MODE CONTROL

Use the Control System Toolbox™ and Simulink® Control Design™ to interact with
Simulink to design a digital pitch control for the aircraft. In this example, we
will design the controller to permit the aircraft to operate at a high angle of
attack with minimal pilot workload.

Open Model



VIEW MORE
SIMULINK
EXAMPLES


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