What are the commercial uses of MATLAB Programming?

In this blog, we will look at the commercial uses of MATLAB. But, before we get started, we should understand what MATLAB is. Let's get this party started:

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What is Matlab?

MATLAB is an abbreviation for "Matrix Laboratory." This is due to its origins as a matrix programming language. Engineers and scientists will appreciate this. However, anyone with an interest in or need for this programme is welcome to use it. Matlab, like Java and C+, is a well-known fourth generation programming language. It is now used in sophisticated applications such as machine learning, deep learning, and data science.

Image processing, communications, control systems, signal processing, and robotics are all common applications for MATLAB. Cleve Moler created MATLAB in 1970 to assist his students. He taught at the University of New Mexico. However, MATLAB was commercially available in 1983. Jack Little and Steve Bangart rewrote the MATLAB programme in C language in order to commercialise it. In 1984, they began distributing the software under their company licence, Math Works.

Features of Matlab programming

Here are the features of Matlab programming language.

• Vectors and matrices

• Variables

• Function handles

• Structures

• Functions

• Classes and object-oriented programming

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Uses of Matlab Programming

Engineering solutions

The majority of engineers in various fields rely on various math functions and calculations. It assists them in ensuring that the outcomes of any new theory. Creating something new always necessitates the use of mathematics because it aids others in comprehending the concept of the most recent engineering technology.

Getting involved in science

Scientists are more likely than other professionals to use MATLAB. The reason for this is that scientists use it to test new theories. Matlab provides "what if" analysis, which allows you to confirm the viability of your newly developed theory. MATLAB is used in almost every scientific field. It is used in medical science on a daily basis.

Predictive Maintenance

MATLAB is also involved in predictive maintenance. It is a method for determining the condition of household equipment. It assists you in determining the machine's maintenance date.

In other words, using predictive analysis, you can determine when maintenance is required. For this purpose, MATLAB provides a predictive maintenance toolbox. It includes a number of tools for levelling data and designing machine condition indicators.

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Motor and power control

MATLAB can also be used for motor and power control. It aids in the regulation of speed and other performance characteristics. MATLAB also includes algorithms for precision control and system protection. It also lowers the cost of developing and creating algorithms.

Deep Learning

Deep learning also plays a role in Matlab applications. It is a component of machine learning. MATLAB is very useful in deep learning because it is very simple to build a deep learning model with a few simple lines of code in MATLAB. You do not need to be an expert to create Deep Learning with MATLAB.

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Robotics

Robotics is the fastest-growing science and engineering field. It is not solely dependent on one type of engineering. Robotics is a branch of mechanical engineering that combines computer science and electronics.

With the help of MATLAB, robotics researchers and engineers can easily develop, design, and tune robotic algorithms.