In classical theory, a finite automaton is defined by the 5-tuple $(Q, \Sigma, \delta, q_0, F)$, where $Q$ is a finite set of states. The limitation arises when $Q$ scales exponentially relative to the input complexity $n$.
Engineers at several robotics labs have begun referring to any controller with hard saturation zones and state reset boundaries as a controller. The term has become shorthand for "unconditionally stable under all bounded inputs." quinn finite
A Quinn Finite graph $G = (V, E)$ is topologically closed if the boundary $\partial G$ is equivalent to the set of all states $s$ where $E(s) = \phi$. This prevents "leakage," a phenomenon in distributed computing where processes spawn unlimited child processes. Under QF rules, process spawning decreases the available "potential" of the parent, maintaining a zero-sum energy budget. In classical theory, a finite automaton is defined