Modelling of systems is the first step in doing everything with the system.
If you have modeled a system, then you know exactly how the system is going to behave or not going to behave when it receives specific inputs.
So, if you don't know how the system acts then, there is no way you can use it and make it do whatever you want it to do. Everything system that we can interact with and understand how it is going to react is modeled in our heads. What you do not understand, you cannot model, or can we?!
There are 3 different ways in which systems are modeled.
One is from the laws of nature or white box modelling.
You know the forces acting on the system and you have the laws that these forces follow. Then, you know all you need to know.
Two is, grey box modelling.
Here we know the inner workings of the system partially. Some part we do not know. Its also called Semi-deterministic model.
Three is black box modelling.
Here, we don't know what is inside the system and its inner workings. The system is like a opaque black box which cannot be opened. You just have places where you can give your inputs and places where you can see the outputs. From this we need to find out the relation between the inputs and outputs. Plus, the systems we usually encounter are dynamic, which means the way its going to act now depends on what input it was given earlier. i.e., we have to find the relation between the current output and current input, earlier input, earlier outputs.
Its clear to me that I myself am not clear with these things, because I cannot seem to be able to write with much confidence.
If you have modeled a system, then you know exactly how the system is going to behave or not going to behave when it receives specific inputs.
So, if you don't know how the system acts then, there is no way you can use it and make it do whatever you want it to do. Everything system that we can interact with and understand how it is going to react is modeled in our heads. What you do not understand, you cannot model, or can we?!
There are 3 different ways in which systems are modeled.
One is from the laws of nature or white box modelling.
You know the forces acting on the system and you have the laws that these forces follow. Then, you know all you need to know.
Two is, grey box modelling.
Here we know the inner workings of the system partially. Some part we do not know. Its also called Semi-deterministic model.
Three is black box modelling.
Here, we don't know what is inside the system and its inner workings. The system is like a opaque black box which cannot be opened. You just have places where you can give your inputs and places where you can see the outputs. From this we need to find out the relation between the inputs and outputs. Plus, the systems we usually encounter are dynamic, which means the way its going to act now depends on what input it was given earlier. i.e., we have to find the relation between the current output and current input, earlier input, earlier outputs.
Its clear to me that I myself am not clear with these things, because I cannot seem to be able to write with much confidence.
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