Understanding Final Value Theorem in Laplace Transform: Tips & Examples

In summary, the page discusses the final value theorem, which states that if there are complex conjugate poles on the imaginary axis, the output will contain sinusoidal components and the final value will not be defined. However, at the bottom of the page, the theorem is used to find the DC gain. There is confusion about whether or not to multiply the transfer function by "s" in the s-domain.
  • #1
zoom1
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http://fourier.eng.hmc.edu/e102/lectures/Laplace_Transform/node17.html

On that page about final value theorem, it says that;

If there are pairs of complex conjugate poles on the imaginary axis, will contain sinusoidal components and is not defined.

However at the bottom of the page, in order to find the DC gain, it uses Final value theorem.

Ok, well, let's assume somehow he put "0" where he saw "s". How about multiplication with "s" for final value theorem on s domain ?
He didn't even multiplied the H(s) with "s" ?

Confused.
 
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  • #2
zoom1 said:
http://fourier.eng.hmc.edu/e102/lectures/Laplace_Transform/node17.html

On that page about final value theorem, it says that;



However at the bottom of the page, in order to find the DC gain, it uses Final value theorem.

Ok, well, let's assume somehow he put "0" where he saw "s". How about multiplication with "s" for final value theorem on s domain ?
He didn't even multiplied the H(s) with "s" ?

Confused.

Seems like I missed the unit step input, so "s" will be canceled by "1/s". However still the first question holds. System has complex conjugates lying on the left side of the s plane. Which makes the output sinusoidal. So, x(infinite) shouldn't be defined.
 

1. What is the final value theorem in Laplace transform?

The final value theorem is a mathematical concept used to find the final value of a function in the time domain by taking the limit of the Laplace transform as s approaches zero. It is used to analyze the steady-state behavior of a system.

2. How is the final value theorem used in practice?

The final value theorem is commonly used in control systems engineering and signal processing to analyze the long-term behavior of a system. It is used to determine the steady-state value of a signal or system output, which is important in understanding the overall behavior of a system.

3. What are some tips for applying the final value theorem?

One tip for applying the final value theorem is to ensure that the function being analyzed has a finite limit as s approaches zero. Another tip is to use other techniques, such as partial fraction expansion, to simplify the function before applying the final value theorem.

4. Can the final value theorem be applied to all functions?

No, the final value theorem can only be applied to functions that have a finite limit as s approaches zero. If the function has poles at the origin, the final value theorem cannot be used and other techniques must be applied.

5. Can you provide an example of the final value theorem in action?

Sure, let's say we have a system with the transfer function H(s) = 1/(s+2). To find the steady-state value of the output, we can use the final value theorem to take the limit as s approaches zero. This results in the final value of the output being 1/2, indicating that the system will reach a steady-state value of 1/2 as time goes on.

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