H(ω) and H(s) as transfer functions

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In summary, while both H(s) and H(ω) are transfer functions, H(s) is typically used for determining stability in the transient state, while H(ω) is used for determining stability in the steady state. Poles and zeroes of H(s) are helpful in determining stability, while only poles can be found from H(ω).
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PainterGuy
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I'm confused about the differences between H(ω) and H(s). The textbook defines both as transfer functions though the transfer function is mostly reserved for H(s).
Hi,

I'm confused between H(ω) and H(s) as transfer functions. The textbook defines both as transfer functions though the term transfer function is mostly reserved for H(s) as far as I can tell. I have read that poles and zeroes of H(s) are helpful in determining the stability. Are poles and zeros of H(ω) also related to stability? Can it be said that H(s) determines the stability during transient state and H(ω) during steady state?

Could you please give it a look and comment on it?

H(s): https://imagizer.imageshack.com/img923/9010/wI1aGK.jpg
H(ω): https://imagizer.imageshack.com/img924/2056/xg4ug1.jpg

Thank you!
 
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H(s) is the Laplace transform of the impulse response as noted towards the bottom of your page and is defined in the complex plane, [itex]s=\sigma+j\omega [/itex]. H(ω), on the other hand, is the Fourier transform of the impulse response. It is a subset of H(s), because it is H(s) evaluated along the imaginary or [itex]j\omega [/itex] axis.

Poles don't usually lie on that axis, however, so you can only determine their position and, therefore, evaluate system stability, from the Laplace transform. Zeroes likewise can lie anywhere in the complex plane, so must be found from the Laplace transform.
 
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1. What is the difference between H(ω) and H(s) as transfer functions?

H(ω) and H(s) are both transfer functions used in control systems to describe the relationship between the input and output signals. The main difference between them is that H(ω) is a function of frequency, while H(s) is a function of the complex variable s. This means that H(ω) can be used to analyze the frequency response of a system, while H(s) can be used to analyze the time response.

2. How do you calculate H(ω) and H(s) as transfer functions?

To calculate H(ω), you first need to determine the transfer function of the system in the frequency domain. This can be done by taking the Laplace transform of the system's differential equations. Once you have the transfer function in the frequency domain, you can substitute jω for s to get H(ω). To calculate H(s), you simply need to take the Laplace transform of the system's differential equations.

3. What are the advantages of using H(ω) and H(s) as transfer functions?

One of the main advantages of using H(ω) and H(s) as transfer functions is that they allow us to analyze the behavior of a system in both the frequency and time domains. This can help us understand how a system responds to different inputs and how it can be controlled. Additionally, using transfer functions makes it easier to design and analyze control systems.

4. Can H(ω) and H(s) be used for all types of systems?

Yes, H(ω) and H(s) can be used for all types of systems, including linear, time-invariant systems and nonlinear, time-varying systems. However, the calculations may be more complex for nonlinear systems, and additional techniques may be needed to analyze their behavior.

5. How can H(ω) and H(s) be used in practical applications?

H(ω) and H(s) are commonly used in practical applications for control system design and analysis. They can help engineers understand the behavior of a system and design controllers to achieve a desired response. They are also used in signal processing and communication systems to analyze and design filters and equalizers.

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