Dynamic Matrix Control Tutorial
Dynamic Matrix Control (DMC) was the first Model Predictive Control (MPC) algorithm introduced in early 1980s. Nowadays, DMC is available in almost all commercial industrial distributed
Example of Measuring Heart Rate from Acquired ECG Signals
Demonstrates the use of a Bitalino to acquire data into MATLAB and to process the raw ADC data to measure heart rate and to visualize some ECG measurements.
Control HC-SR04 Ultrasonic Sensor
Use the MATLAB® Support Package for Arduino® Hardware to control a HC-SR04 ultrasonic ranging module capable of measuring distances in the 2cm to 400cm range.
Demo script for my High Precision Floating point decimal
Format. The user can specify any number of digits to be carried, while doing a variety of different numerical computations on these numbers. Not all MATLAB operators are defined, as my main
Examples of Data Analytics for Predictive Maintenance
Rare events prediction in complex technical systems has been very interesting and critical issue for many industrial and commercial fields due to huge increase of sensors and rapid growth
Examples of Data Analytics for Predictive Maintenance (1)
Among many statistical anomaly detection techniques, Hotelling’s T-square method, a multivariate statistical analysis technique, has been one of the most typical method. This method
Examples of Data Analytics for Predictive Maintenance (2)
Though Hotelling’s T-square method is applicable for many multi-dimensional data sets, this method has a fundamental assumption that the data follow a unimodal distribution. So, when the
Examples of Data Analytics for Predictive Maintenance (3)
The previous methods, Hotelling’s T-square method and Gaussian mixture model, use Gaussian distribution-based parametric model. However, in practical situation, sometimes data
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
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
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
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
Manipulating Multidimensional Arrays
Work with arrays having more than two dimensions. Multidimensional arrays can be numeric, character, cell, or structure arrays.