Stabilization of chaotic systems using the BOXES methodology

D. W. Russell

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages295-303
Number of pages9
StatePublished - Dec 1 1994
EventProceedings of the 9th International Conference on Applications of Artificial Intelligence in Engineering - University Park, PA, USA
Duration: Jul 19 1994Jul 21 1994

Other

OtherProceedings of the 9th International Conference on Applications of Artificial Intelligence in Engineering
CityUniversity Park, PA, USA
Period7/19/947/21/94

All Science Journal Classification (ASJC) codes

  • Software

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