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kenok1216
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whu at w=100 the effect of c0 and c2 will not count
also w=200 the effect of c1 and c0 will not count?
Well, it's a worked out example and OP wonders about the coefficients. The reason is that this is all about linear systems, and one property of a linear system is that you can write the total response as the sum of responses to the individual frequency components in the input.kenok1216 said:whu at w=100 the effect of c0 and c2 will not count
also w=200 the effect of c1 and c0 will not count?
BvU said:nders about the coefficie
got it thankBvU said:Well, it's a worked out example and OP wonders about the coefficients. The reason is that this is all about linear systems, and one property of a linear system is that you can write the total response as the sum of responses to the individual frequency components in the input.
And an input of a particular ##\omega## can only lead to a response with that same ##\omega## plus its very own ##\theta##.
A transfer function is a mathematical representation of the relationship between the input and output of a system. It describes how the output of a system changes in response to a change in the input.
One example of a transfer function is the low pass filter, which attenuates high frequency signals while passing low frequency signals. The transfer function for this system is H(s) = 1 / (1 + sRC), where R is the resistance and C is the capacitance of the circuit.
The response of a system can be calculated by multiplying the transfer function by the input signal in the Laplace domain. This will give the output of the system in the Laplace domain, which can then be converted back to the time domain using inverse Laplace transform.
Poles and zeros are important characteristics of a transfer function as they determine the stability and frequency response of a system. Poles are the values of s where the transfer function becomes infinite, while zeros are the values of s where the transfer function becomes zero. The location of poles and zeros on the complex plane can affect the behavior and performance of a system.
No, a transfer function can only be used for linear systems, where the superposition principle applies. For nonlinear systems, other methods such as state space representation or input-output models must be used to describe the system's response.