Linear time invariant(LTI) systems

In summary, a linear time invariant (LTI) system is a type of linear system that follows the principles of superposition and has a corresponding shift in output when there is a shift in input. This can be seen in the form of the system's equations, where input and process noise can also be incorporated.
  • #1
JohnielWhite
47
0
Good day everyone. Could someone please explain what is meant by a linear time invariant(LTI) system?
From what I have read on linear and time invariant systems separately. I would assume that a LTI system is one that obeys the principles of superposition and a shift in input causes a corresponding shift in output. Could some confirm this or correct it because I don't want to have the wrong concept of LTI systems.
Thanks in advance.
 
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  • #2
Any linear system obeys the law of superposition. An LTI system has the form:

[tex]\dot{x}=Ax+Bu [/tex]
[tex]y=Cx+Du [/tex]

But you can add effects such as input noise and process noise in the following manner:

[tex]\dot{x}=Ax+Bu+Hv [/tex]
[tex]y=Cx+Du+Gw [/tex]

Where [tex]v [/tex] and [tex]w [/tex] are input and process noise respectively.

And yes, a shift in input does cause a corresponding shift in output.
 
  • #3
Thanks for the clarification viscousflow.
 

1. What is a Linear Time Invariant (LTI) System?

A Linear Time Invariant (LTI) system is a type of system in which the output is a linear combination of the input and the system's response is not affected by a time translation of the input.

2. How do you determine if a system is Linear Time Invariant?

To determine if a system is Linear Time Invariant, you can use the superposition principle and time-invariance property. This means that if the input is a linear combination of signals, the output must also be a linear combination of the corresponding outputs of each individual signal. Additionally, if the input is delayed or advanced in time, the output should also be delayed or advanced by the same amount.

3. What are the advantages of using Linear Time Invariant systems?

One advantage of using Linear Time Invariant systems is that they have predictable and consistent behavior, making them easier to analyze and design. Additionally, their properties allow for simpler and more efficient mathematical representations and calculations.

4. Can a system be both Linear and Time-Varying?

No, a system cannot be both Linear and Time-Varying. Linear systems must follow the superposition principle, while Time-Varying systems have output that depends on the current time. These two properties are contradictory, so a system cannot have both simultaneously.

5. How can Linear Time Invariant systems be applied in real-world scenarios?

Linear Time Invariant systems have a wide range of applications in various fields such as signal processing, control systems, and communication systems. For example, they can be used to model and analyze the behavior of electronic circuits, motor control systems, and audio systems.

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