MATLAB Examples
The comparison of three DC motor control techniques for tracking setpoint commands and reducing sensitivity to load disturbances:
Detect a particular object in a cluttered scene, given a reference image of the object.
You can use the Fourier transform to analyze variations in data, such as an event in nature over a period time.
Design lowpass FIR filters. Many of the concepts presented here can be extended to other responses such as highpass, bandpass, etc.
Plot the time and frequency responses of SISO and MIMO linear systems.
Simulate a basic communication system in which the signal is first QPSK modulated and then subjected to Orthogonal Frequency Division Multiplexing. The signal is then passed through an
Generate a standalone C library from MATLAB code that implements a simple Sobel filter that performs edge detection on images. The example also shows how to generate and test a MEX function in
Use Simulink® to model a quadcopter, based on the PARROT® series of mini-drones.
The starting procedure for a synchronous motor.
The recommended workflow for generating C code from a MATLAB function using the 'codegen' command. These are the steps: 1. Add the %#codegen directive to the MATLAB function to indicate that
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
Author: SHUJAAT KHAN -- shujaat123@gmail.com Cite: Khan, S., Naseem, I., Togneri, R. et al. Circuits Syst Signal Process (2017) 36: 1639. doi:10.1007/s00034-016-0375-7
Based on "Finite Element Methods for flow problems" of Jean Donea and Antonio Huerta
This example was authored by the MathWorks community.
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
Approximate nonlinear relationships of a type S thermocouple.
Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink model with its representation of the transmission control logic. Simulink provides a powerful
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
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
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