well, dynamic difficulty adjustment is pretty much ... hmmm not really sure, it's not something that needs new tools, and it was only because i happened to be working for a shitcoin project that was building a hybrid proof of work/proof of stake algorithm that the CTO happened to be a trained physicist and noticed that difficulty adjustments were like a type of device he was familiar with from his work in physics, the PID controller

PID stands for Proportional Integral Derivative and it uses a set of parameters for each of those over a historical sample of data points to adjust a system, usually a linear parameter, to the inputs its getting

in my experimenting with it, i built a simulator that tested parameters for P, I and D I found it was possible to adjust smoothly, or be more accurate but it had a high noise component

i've since read a little more about how to work with these things and learned that the derivative can help a lot but in my tests it just added noise - the trick was to apply a band pass filter to cut the high frequencies out, and that probably would allow it to become faster at adjusting to changes without adding the noise factor that the P and I factor create when tweaked for fast adjustment

the fact is that the bitcoin difficulty adjustment is actually sufficient for the task, and due to its simplicity is preferable, but i could write a dynamic adjustment that is resistant to timewarp attacks and would reduce the amount of variance of solution times