MATLAB key features
- A complete framework for system development and artificial intelligence (AI) algorithm training for machine vision, signal processing, control systems, and test data analysis
- Embedded algorithm design through simulation and automatic code generation for control and signal processing systems
- Creation of stands based on control and measuring equipment and data acquisition devices for test automation and regression testing
- Modeling by means of systems of differential equations in numerical and symbolic form, statistical modeling, and solving mathematical optimization problems
- Seamless deployment of algorithms on user machines, corporate servers, and web resources in the form of programs or libraries
- The use of the scripting language in Simulink allows you to automate a wide range of tasks: enumeration of parameters using the Monte Carlo method, sensitivity analysis of model parameters, parallelization of models, selection of optimal parameters, launching scripts for any trigger in the model, launching verification and code generation algorithms, as well as automatic construction models
Shape tomorrow's mobility
MATLAB, Simulink, COMSOL Multiphysics, and Speedgoat can help engineers streamline their development processes and deliver products that minimize environmental impact while improving operational safety, increasing performance, and delivering new comfort levels.
Design, simulate, test, and evaluate electronics systems
Engineers use MATLAB, Simulink, COMSOL Multiphysics, and Speedgoat to develop more efficient methods of producing, storing, and utilizing electrical resources.
Biotech and Pharmaceutical
Take your pharmaceutical research and development to the next level.
MATLAB, Simulink, and COMSOL Multiphysics allow biotech and pharmaceutical companies to advance the design and optimization of pharmaceutical production, develop algorithms, process multidisciplinary data, easily manage their entire workflows, and perform modeling and simulation for drug discovery and development.
Design, simulate, and prototype communications systems.
MATLAB, Simulink, COMSOL Multiphysics, and Speedgoat make it possible for engineering and R&D teams to swiftly and accurately design, simulate, and verify communications systems
Blogs and user stories
Learn about MATLAB and Simulink from enthusiastic developers and MATLAB experts who are devoted to MATLAB programming and simulation.
In this blog, the SZEnergy team members discuss how their dedication and MATLAB optimization turned their 6th-place car into a record-breaking Mileage Challenge winner. The blog explores the team’s journey to victory in the Autonomous Challenge and their commitment to innovation with MATLAB.
This User Story delves into how the Combustion Research Group at Budapest University of Technology and Economics (BME) is leading the way in sustainable development through their research on the struggles with atomization within energy technologies.
In this blog, we discuss how to use Simulink®, Simscape Electrical™, and Speedgoat real target machines to model and implement grid-tied inverter controller.
In this blog, we discuss what is Reduced Order Modeling(ROM), how ROM can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB.
Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
In this blog, we talk about microgrids and how to get started with Simulink for microgrid design.
In this blog, we discuss two approaches to handle the finite word-length arithmetic necessary for processing these numbers, fixed- and floating-point arithmetics.