This document discusses different types of systems and system simulations. It defines a system as a group of interacting objects working toward a common purpose. A system is affected by its environment. A system can be discrete, meaning its state variables change at discrete points in time, or continuous, meaning its state variables change continuously over time. The document also describes different types of system models, including mathematical, physical, static vs. dynamic, deterministic vs. stochastic, and discrete vs. continuous models. The purpose is to understand how to choose the appropriate type of simulation based on the system being modeled.

1. Different types of
simulations for
appropriate systems
By
Md. Fazle Rabbi
16CSE057

2. 4.2
A system is defined as a groups of objects that are
joined together in some regular interaction toward
the accomplishment of some purpose.
 A system is often affected by changes occurring
outside the system: system environment.
• It is necessary to decide on the boundary
between the system and its environment
Definition of System

3. 4.3
Components of system
• Entity
An object of interest in the system : Machines in factory
• Attribute
The property of an entity : speed, capacity
• Activity
A time period of specified length :welding, stamping
• State
A collection of variables that describe the system in any time
status of machine (busy, idle, down,…)
• Event
A instantaneous occurrence that might change the state of
the system : breakdown
• Endogenous
Activities and events occurring with the system
• Exogenous
Activities and events occurring with the environment

4. 4.4
System can be categorized into
1. Discrete System
2. Continuous System
System

5. 4.5
A discrete system is one in which the state variables
change only at a discrete set of points in time :
(Bank example)
Discrete and Continues Systems

6. 4.6
A continues system is one in which the state
variables change continuously over time: Head of
water behind the dam
Discrete and Continues Systems

7. 4.7
Models can be classified as
mathematical, physical & Process
• A mathematical model uses symbolic notations and
mathematical equations to represent a system.
System-Model may be further classified:
• STATIC OR DYNAMIC
• DETEMINISTIC OR STOCHASTIC
• DISCRETE OR CONTINUOUS
Types of Model & System Models

8. 4.8
 A STATIC SYSTEM MODEL
represents a system at a particular point in time.
 DYNAMIC SYSTEM MODEL
represents a system as it change over time.
STATIC & DYNAMIC System-model

9. 4.9
System models that contain no random variables
are classified as deterministic
A stochastic system model has one or more
random variables as input.
DERERMINISTIC & STOCHASTIC System-model

10. 4.10
System models that contain no random variables
are classified as deterministic
A stochastic system model has one or more
random variables as input.
Relation among different types of system Model

11. 4.11
Thank you