Mathworks' Matrix Laboratory, or MATLAB for short, is a multi-paradigm numerical computing environment and proprietary programming language. It combines computation, visualisation, and programming in a user-friendly environment, and it is all expressed mathematically. Matlab was first released in 1984 and was written in C, C++, and Java. The most recent version was released in March 2018.
Matlab applications are based on the following mathematical concepts and are built around the Matlab scripting language:
Variables
Structures
Vectors and matrices
Functions
Classes and object-oriented programming
Function handles
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Applications of Matlab programming
Here are the application of Matlab programming language.
Deep Learning
Deep learning is a subset of machine learning. Matlab can be used to build deep learning models with just a few simple lines of code, requiring no expertise.
Motor and power control
Motor control algorithms govern speed and other performance parameters. Algorithms in Matlab aid in energy efficiency, precision control, and system protection. It shortens and lowers the cost of algorithm development before committing to costly hardware testing.
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Predictive Maintenance
Predictive maintenance techniques are intended to determine the condition of in-house equipment in order to determine when maintenance is required. The Matlab predictive maintenance toolbox includes tools for labelling data, creating condition indicators, and calculating a machine's remaining useful life (RUL).
Data Analytics
The process of studying data to gain insights is known as data analytics. It is mostly accomplished with the assistance of other software and tools. Matlab is used by engineers and IT professionals to create Big Data Analytics Systems.
Robotics
Robotics is a science and engineering interdisciplinary field. To create robots or human-like machines, engineers use mechanical engineering, electronic engineering, and computer science, to name a few disciplines. MATLAB is used by robotics researchers and engineers to design and tune algorithms, model real-world systems, and generate code automatically - all from a single software environment.
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Mechatronics
The technology that combines electronics and mechanical engineering is known as mechatronics. Mechanical, electrical, control, and embedded software subsystems must all be integrated in mechatronic systems. Matlab uses allow you to design and simulate all of this in a single programme.
Test and Measurement
Testing and measurement is the process of subjecting electronic products to a variety of tests ranging from physical tests to detect physical defects to product level functional testing. Matlab provides the tools required to acquire and automate tasks. After you've collected data, you can explore it by performing live visualisation and data analysis.
Computational Biology and Computational finance
The study of biological data for a better understanding of biological systems and relationships is known as computational biology. On the other hand, computational finance is the computer science study of financial data and financial modelling. Matlab assists in modelling biological behaviour by solving ordinary differential equations. In addition, you can use the Matlab computational finance suite to create quantitative applications for risk management, investment management, insurance, and econometrics.
Image processing and computer vision
Image processing is primarily concerned with preparing raw images for use in other tasks such as computer vision. Computer vision, on the other hand, examines images in the same way that the human eye does. It entails comprehending and forecasting the visual output. Image processing and computer vision rely heavily on algorithm development. Matlab provides a comprehensive environment for image analysis and algorithm development.
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Internet of Things
The Internet of Things is a network of devices, vehicles, and home appliances, among others, that are embedded with electronics, software, sensors, actuators, and connectivity to allow data exchange. Matlab can be used to design, prototype, and deploy IOT applications such as predictive maintenance, operations optimization, supervisory control, and so on.
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