Abbreviate me however you like!
A good example in real life is the self-balancing washing machine. Washing machines don't have "balanced" and "unbalanced" states. It's relative. But with a combination of sensors and programming, the hardware understands when it is "more balanced" and "less balanced" and can take steps to promote a "more balanced" state, dynamically as the load progresses through its cycle. Again, this is not an either/or situation, but one where the goal is to obtain the most optimal
state possible when suboptimal conditions are occurring. Well-programmed computers and devices are much better at this than one might think--the algorithms have advanced considerably in recent years.