Top 7 MATLAB Capabilities to Use in Various Industries

MATLAB is one of the most required programming languages for computing specialists in many fields. If now Python, JavaScript, and C# are more popular, it doesn’t mean that MATLAB is undeservedly forgotten. Everyone who wants to dedicate their professional path to physical modeling or aerospace applications should consider learning MATLAB. Students who wish to get MATLAB assignment help online consistently seek special educational resources. It is a vital part of self-development in a high-performance language for technical computing. Please, read more about possible MATLAB usage and its purposes in different spheres.

Math and computation

MATLAB combines programming, computation, and visualization. It is easy to express in familiar mathematical notation, so this language is simple in an environment where problems and solutions can be technically tracked. MATLAB code lets you analyze, create, and modify deep learning architectures using apps and visualization tools. Math and computation are crucial parts of data preparation to design, simulate, and deploy different neural networks calculated correctly.

The MATLAB language has a sizeable mathematical function library. It supports a different amount of computational algorithms ranging from elementary functions like arithmetic, sum, sine, and cosine to more complex ones like fast Fourier transforms, matrix inverse, Bessel functions, and matrix eigenvalues.

Physical modeling 

Usually, modeling, simulation, and prototyping are made in the Simulink environment within Simscape software. Improve your modeling best practices by building your physical model. Use blocks combination from the Simscape Foundation and utility libraries. Simscape software lets any specialist create a system under design network representation based on the Physical Network approach. Basing on this, each procedure is a group of functional elements that integrate exchanging energy through their ports.

Constructing a physical model with MATLAB helps you to pass all steps without omitting the necessary details. Create a new model using the “ssc_new” command, connect blocks into a physical network, adjust block characteristics, specify quantities with other sources, add sensors, connect blocks with Simulink, and simulate the model to track the simulation result.

Systems engineering

 Due to object-oriented programming features in MATLAB language, it allows programmers to develop quick throw-away programs rapidly. Same concerns large and complex applications that are built for systems engineering. Using this language’s tools, you can easily compose and analyze any system, import profiles, apply stereotypes to elements, and quantitatively evaluate an architecture for specific qualities.

MATLAB is extremely useful for systems engineering because it simplifies processes in software design. You can construct, simulate, and verify such autonomous systems processes as robotics deployment, transportation optimization, and driving automation. It is not only application and website development that demand MATLAB knowledge. You can use it also in healthcare systems, mechatronics, and machine learning.

Aerospace applications 

Using basic knowledge of MATLAB, you can proceed with creating an aerospace model using Aerospace Blockset software. Simulate various aerospace systems, which will be an excellent ground for further aerospace application development. Learn how to define coordinate systems and accurately represent spacecraft motion. Remember to consider aircraft motion as well, so provide relevant calculations.

What is great about MATLAB in aerospace applications development is that you can organize large projects and simplify their delivery to others. All you need is to level up your knowledge on blocks for modeling examples represented in the Aerospace Blockset tool. Every developer using the MATLAB system can easily project vehicle models and test them on guidance, navigation, and control.

Complex logic 

Stateflow is a Simulink extension that helps to model the final machine state. For instance, using MATLAB complex logic, you can develop a power window controller, fitness tracker, elevator, or even traffic control system. Organize communication and share data by sending messages between Stateflow charts. It will help to synchronize model components and track state activity through active space data. 

Signal Processing

Using DSP System Toolbox software provided with MATLAB functions, you can configure the Simulink environment for signal processing models. Within the MATLAB working environment, you can analyze, modify, and write an executable and run the executable C Code from Simulink Model. Moreover, you can work on radar tracking, acoustic noise management, implement a programmable FIR filter for hardware, and model sigma-delta algorithm conversion. 

Discrete-event simulation

With the MATLAB system, specialists can develop discrete-event strategies in the Simulink environment. Often they use SimEvents software to provide a discrete-event simulation engine. A library’s component helps analyze event-driven system models and optimize such performance characteristics as throughput, latency,  and packet loss. Model discrete-event simulation with predefined blocks such as servers, switches, and queues, to predict routing, processing delays, scheduling and communication, and priority.

Learn how entities fit into the modeling process and detect random intergeneration times for entities. Using MATLAB, you can manage them with event actions in a queuing system and build an event-based SimEvents block library model.


 MATLAB has grown over the years with participation from many users. It is the standard instructional tool in university environments and understanding it, you can unleash your opportunities in many business fields. For instance, it is used for introductory and advanced courses in science, especially in mathematics and engineering, computational biology, and control systems. MATLAB is the tool for high-productivity research, analysis, and development in any industry. Therefore, use this interactive language to meet even the strictest project’s expectations in any job position related not only to computing but also other scientific programs.

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