What is the system model being simulated here?

I've played with it, and checked the source code, and this looks like a really, really simple control loop mechanism. It's basically P controller (as in, PID controller with I and D set to zero) and with this simple on/off "mode" selector wrapped around it that basically turns it off sometimes.

The performance seems _really_ bad: set manual input to -0.5 and watch it oscillate like crazy, with a very large amplitude. That mode selector is really not helping here!

The visualization is nice and very high-tech, but a well tuned PID controller would perform much better. Heck, even a simple P controller would likely perform better as well, at the expense of small steady-state oscillation.

This is a live preview of Erevos v1.3, a minimal adaptive control system.

It detects when its internal processes start to overload and automatically re-balances itself toward baseline.

The demo visualises this feedback loop in real time — you can watch it shift between stress, correction, and stability as inputs change.

I built it as a proof-of-concept for adaptive stability — showing how a simple feedback loop can detect its own stress and correct itself without supervision.

Demo: atlas-systems-labs.com/demo

Code: github.com/Atlas-Systems-Labs/erevos-demo

I’m curious how others see this kind of adaptive feedback loop fitting into areas like simulation, robotics, or behavioural systems.

What can this be used for?