Solution 2.39a: Integrators vs Differentiators

AI Thread Summary
Integrators are preferred over differentiators in block diagrams for differential equation systems due to their stability and lower susceptibility to environmental noise. Differentiators can lead to unstable outputs, particularly with bounded inputs like step functions, resulting in unbounded outputs resembling impulse functions. The nature of differentiator electronics makes them more prone to noise interference, which can compromise system performance. In contrast, integrators provide a more reliable response in various operational conditions. Therefore, for stable system design, integrators are the recommended choice over differentiators.
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For the question (problem 2.39a) stated in the picture attached to this message, I don't understand why integrators should be used in favour of differentiator for the block diagram representing the differential equation system. Is this b/c of the nature of the differentiator electronics too susceptible to environmental noise?
 

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In addition to what you mention of the susceptibility to noise, another point comes to mind. The differentiator would represent an unstable system with regards to certain types of bounded inputs. An example of this would be a step input. This input would result in the unbounded output with the characteristics of an impulse. That is, the derivative of a unit step, u(t), is in fact the unit impulse function, \delta(t):

\frac{du}{dt} = \delta(t)
 
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