Stabilization of chaotic systems using the BOXES methodology
David W. Russell · 1994
The detection and reporting of chaotic tendencies in real-time, real-world systems is increasing as careful analyses of processes are performed. This may well be in part due to the re-emergent interest in chaotic systems and some of the new possibilities that chaotic programming affords. This paper shows first how the algorithm for the measurement of the information dimension of a fractal has marked similarity to the BOXES paradigm. Second, the paper illustrates how a BOXES-type automaton can be constructed to attach to a simulation of the well-known chaotic system, described by the Lorentz Equations, and how it can be taught to stabilize the motion.