Category: 2. Uses of Matlab

Deep learning is a broader family of machine learning. Uses of Matlab is such that with just a few simple lines of coding one can build deep learning models without having to be an expert.

Motor control algorithms regulate speed and other performance characteristics. Matlab algorithms help with energy efficiency, precision control, and system protection. It reduces the time and cost of algorithm development before you commit to expensive hardware testing.

Predictive maintenance techniques are designed to determine the condition of in-house equipment so that we can figure out when maintenance has to be done. The Matlab predictive maintenance toolbox provides tools for labeling data, designing condition indicators, and estimating the remaining useful life (RUL) of a machine.

Data Analytics is the process of studying data in order to gain insights. It is mostly done with the help of other software and tools. Engineering and IT people are using Matlab to build the Big Data Analytics Systems.

Robotics is an interdisciplinary field of science and engineering. It involves mechanical engineering, electronic engineering, and computer science to name a few to create robots or human-like machines. Robotics researchers and engineers use MATLAB to design and tune algorithms, model real-world systems, and automatically generate code – all from one software environment.

Computational biology is the study of biological data for better understanding of biological systems and relationships. Computational finance on the other is the computer science study of financial data and financial modeling. Matlab helps by solving ordinary differential equations that model biological behavior. Also, the Matlab computational finance suite enables you to develop quantitative applications for risk management, investment management, insurance, and econometrics.

Testing and Measurement is the process in which electronic products are subjected to a range of tests starting from physical tests to identify any physical defects to product level functional testing. Matlab provides tools that you need to acquire and automate tasks. Once you acquire data, you can explore it and perform live visualization and data analysis.

Mechatronics is the technology combining electronics and mechanical engineering. Mechatronic systems require integrating mechanical, electrical, control, and embedded software subsystems. Uses of Matlab allows you to design and simulate all of this in a single environment.

Matlab enables hardware-software codesign by providing C/C++ and HDL code generation with targeted support for programmable SoC devices.

Internet of Things is the network of devices, vehicles and home appliances and others embedded with electronics, software, sensors, actuators, and connectivity which enables the exchange of data. uses of Matlab help in the design, prototype, and deployment of IOT applications such as predictive maintenance, operations optimization, supervisory control etc.