5 ms·
In my area, every controls engineer says "we can just use a PID". 99% of the time it seems they're not wrong, despite control engineering being a pretty large
by thearn4 4y ago
In my area, every controls engineer says "we can just use a PID".
99% of the time it seems they're not wrong, despite control engineering being a pretty large area of research.
- elevation 4y agoI'm nominally familiar with PID loops but am not a control engineer. What other tools would you commonly bring to bear when a PID is not applicable?
- sitkack 4y agoAnd a simple PID controller built with op-amps looks an awful lot like a simple neural network. http://www.ecircuitcenter.com/Circuits/op_pid/op_pid.htm http://www.ecircuitcenter.com/Circuits/op_pid/op_pid.htm https://www.nutsvolts.com/magazine/article/the_perceptron_circuit https://www.nutsvolts.com/magazine/article/the_perceptron_ci...
- mordae 4y agoIsn't gradient descent basically PID over parameters? And tricks like momentum basically a low-pass filter integrated in the PID loop? It's quite weird how not that many concepts from analog electronics domain have gotten carried over to ML.