Modelling And Simulation Course And Certification

What Is Modelling & Simulation?

Modeling is the process of describing a data model that includes the construction and working of the model. This data model is very similar to a Real System and it helps the analyst to predict the effect of changes in the system. In other words, modeling is the creation of a model that represents a system including the system properties. It is an act of building and developing a model.

The Simulation of a system is the operation of a model in the areas of time or space, this information helps the analyst to analyze the performance of an existing or a proposed system. In other words, simulation is defined as the process of making use of a model to study the performance of a system. It is the act of using a model for simulation purposes.

Modeling and Simulation (M&S) refers to the use of already defined data models, for example, the physical, mathematical, or logical representation and illustration of an entity, system, phenomenon, or process as a foundation for simulations to produce data that are used for managerial or technical decision making.

Features Of Modeling And Simulation

The following are some of the basic features of Modelling & Simulation.

1. Object is an item that lives in the real world, that is used to study the behavior and characteristics of a model.

2. Base Model is a theoretical explanation of the properties of objects and their behavior, which is valid across the model.

3. System:  The system is the articulate object under specific conditions, that exists in the real world.

4. Experimental Frame is used to carry out analysis of a system that is in the real world, such as the experimental conditions, aspects, objectives, etc. The  Basic Experimental Frame is made up of two sets of variable, namely, the Frame Input Variables & the Frame Output Variables, that matches the system or model terminals. The Frame input variable is usually responsible for matching the inputs applied to the system or the model. The Frame output variable is responsible for matching the values outputted to the system or the model.

5. Lumped Model is an exact description of a system that goes by the predefined conditions of a given Experimental Frame.

6. Verification is the process of comparing two or more items to make sure that they are accurate. In Modelling & Simulation, verification can be carried out by comparing the frequency and consistency of a simulation program and the lumped model to make sure that their performance is high.

7. Validation is the process of comparing different results. In Modelling & Simulation, validation is carried out by comparing experiment measurements with the simulation results that are within the context of an Experimental Frame. The model is not valid if the results gotten did not match.

Benefits And Advantages Of Modeling And Simulation

The following are some of the Benefits and Advantages of using Modelling and Simulation:

1. Easy to understand: They allow you to understand how the system really works without working on a real-time system.

2. Easy to test: Modeling and Simulation allows you to make changes into the system and view its effect on the output without working on real-time systems.

3. Easy to upgrade: Modeling and Simulation allows you to determine the system requirements by utilizing different configurations.

4. Easy to identifying constraints: They allows you to perform bottleneck interpretation that creates a delay in the information, work process, etc.

5. Easy to diagnose problems: Some systems are so complex that it is not easy to understand their communications at a time.

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