System Modelling and Simulation

Modelling and Simulation

• Modelling and simulation involve creating a model of a system and experimenting with it to understand its behavior
• It allows for easy understanding, testing, and upgrading of systems without affecting the real system
• Modelling and simulation can be used to identify constraints, diagnose problems, and explore new policies and procedures

Advantages of Modelling and Simulation

• Easy to understand: allows understanding of how the system operates without working on real-time systems
• Easy to test: allows making changes to the system and seeing their effect on the output without working on real-time systems
• Easy to upgrade: determines system requirements by applying different configurations
• Easy to identify constraints: performs analysis that causes delay in the work process
• Easy to diagnose problems: understands all interactions and analyzes their effect

Disadvantages of Modelling and Simulation

• Designing a model requires domain knowledge, training, and experience
• Simulation results can be difficult to translate and require experts to understand
• Simulation process is expensive and time-consuming

System Modelling

• System modeling and computer simulation are used to study systems with the help of mathematical models and computers
• It saves money and time by not performing actual experiments on the real system

What is a System?

• A system is an object that has some action to perform and is dependent on a number of objects called entities
• Example: a classroom, a college, or a university is a system
• Each entity has its own attributes or properties

Types of Systems

• Systems can be divided into two types: static systems and dynamic systems
• Static systems do not change with time, while dynamic systems change with time

State of a System

• The state is defined as a collection of variables necessary to describe the system at any time, relative to the objectives of the study
• An event is an instantaneous occurrence that may change the state of the system

Types of Environment

• Exogenous systems are affected by the environment
• Endogenous systems are not affected by the environment
• Examples: economic model of a country (exogenous), aircraft flight (exogenous), and a classroom without students (endogenous)

Application Areas of Modelling and Simulation

• Modelling and simulation can be applied to military applications, training and support, designing semiconductors, telecommunications, civil engineering designs, and e-business models
• It can also be used to study biological systems, optimize system design, test new designs and policies, and verify analytic solutions

Scientific Techniques

• Deterministic studies involve techniques where results are known exactly
• Probabilistic studies involve techniques where results are not known exactly
• Examples of deterministic systems: fluid flow in a pipe, motion of an aircraft or trajectory of a projectile
• Examples of probabilistic systems: factory production and marketing in lots

Learn about system modeling and computer simulation, a crucial tool in the industry and defense. Understand how it helps engineers and scientists study systems using mathematical models and computers, saving time and money.