In terms of state feedback, trial and error controls the knowledge state of the design in the designer’s head rather than the functional state of an embodied design in operation. With trial and error the designer learns. With true feedback control, the object does.
-
-
Show this thread
-
Good diagnostic question to locate feedback loop: what is the living thing the loop passes through. If it’s a human the loop passes through, it’s trial and error. If the human could walk away and thing can autopilot in a changing environment for a while, there’s real feedback.
Show this thread -
There’s got to be a way to state this in a rigorous way. I think a trial-and-error loop is one that does not converge to a continuous transfer function in the limit of making the iteration interval smaller because there’s a process step that’s not bounded as function of step size
Show this thread -
Ie closed-loop assumes strongly bounded rationality in the feedback transfer function. You can do the e(t) —> u(t) computation in delta_t, as it goes to zero. Because e(t) gets smaller because stability.
Show this thread -
Human-in-the-loop is nearly the same as NP-hard problem solver in the loop, where the human can choose a particular good-enough heuristic solution in the time available. Ie, an agent that can change the problem when it can’t stretch the time. Ie a judging/valuing agent.
Show this thread -
Sorry, thinking out loud down a pseudo-mathematical bunnytrail. This is control theory geekery of as yet unclear relevance to practical things.
Show this thread
End of conversation
New conversation -
-
-
What is this a subtweet towards?
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.