Measuring Signal Similarities
Measure signal similarities. It will help you answer questions such as: How do I compare signals with different lengths or different sampling rates? How do I find if there is a signal or just noise in a measurement? Are two signals related? How to measure a delay between two signals (and how do I align them)? How do I compare the frequency content of two signals?
Wind Farm (IG)
Phasor simulation of a 9-MW wind farm using Induction Generators (IG) driven by variable-pitch wind turbines.
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
CoMP Dynamic Point Selection with Multiple CSI Processes
How multiple Channel State Information (CSI) processes provide the network with feedback for Coordinated Multipoint (CoMP) operation. In this example User Equipment (UE) data is
Simulating Automatic Climate Control Systems
Simulate the working of an automatic climate control system in a car using Simulink® and Stateflow®. You can enter a temperature value you would like the air in the car to reach by double
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
Calling Shared Libraries from Simulink
This paper discusses several approaches for calling shared libraries from Simulink models.
Malaysia GDP Prediction Using ARIMA (Autoregressive Integrated Moving Average) and NAR (Nonlinear Autoregressive Neural Network)
This example was authored by the MathWorks community.
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
Air Traffic Control Radar Design
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
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
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
2-D and 3-D Plots
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :