Control Theory -- Systems where the controller also changes with time

AI Thread Summary
The discussion centers on exploring control systems where the controller's input changes over time, specifically incorporating the derivative of the control input, ##\dot{u}##. Participants note that traditional control theory often overlooks this aspect, particularly in linear time-invariant (LTI) systems. The conversation highlights the potential for creating state variables that account for the effects of ##\dot{u}## on the output, ##y##. An example involving the "D" component of a PID controller is suggested to illustrate the concept. Overall, the discussion emphasizes the need for further exploration of time-varying control inputs in control theory.
mad mathematician
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Usually we look at a system of ODEs of the form:
$$\dot{x}=f(x,u,t)$$
$$y=g(x,u,t)$$

Why not look at systems where the controller also changes with time, i,e functions of terms ##\dot{u}##?

I took quite a handful of Control Theory courses and yet as of yet never seen one incorporating this derivative.

Perhaps it's impractical, my pure side of me doesn't really care though... :oldbiggrin:
 
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I assume you are referring to LTI systems? Because you can construct all kinds of weird #$@! otherwise.

In the very sloppiest, hand wavy way (because it's late here and it's been a long time since I did this stuff for real), you will end up with a state variable that represents the effect of ##\dot u##, if it matters to the output ##y##.

Consider the "D" part of a PID controller:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9933758

Maybe try a simple example, like an RC HPF (in the EE context)? This stuff is often clearer when you work through a simple case.
 
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