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System-level simulation is a collection of practical methods used in the field of systems engineering, in order to simulate, with a computer, the global behavior of large cyber-physical systems.

SYSTEM DESIGN AND SIMULATION USING MATLAB:

There are many tools & technologies which are offered by MATLAB for the purpose of Model-Based Design by which multidomain, complex & time-varying systems can be designed. These systems consist of image & video processing, controls, communications, cyber-physical system & signal processing applications.

This is the simulation-based approach by which a better understanding can be  obtained  regarding the design alternatives as well as trade-offs than the other traditional design methodologies which are prototype-based by which design can be optimized.

 errors can be caught earlier, testing can be done in more details along with many scenarios, sensitivity & robustness analysis can be carried out & existing issues can be troubleshooted effectively. This leads to saving of key cost, lesser hardware prototypes, shorter cycle of development & high quality.

The systems are designed & simulated using the system objects in MATLAB. 

Initially the individual components are created that means system objects to be used in the system. System Toolboxes provides System objects. Then the components are configured that means the property values of the objects are changed if required for modeling the system. After that, the components are assembled into the system in which a program of MATLAB is written. Finally the system is run.