Stabilization of chaotic systems using the BOXES methodology

D. W. Russell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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)
Title of host publicationApplications of Artificial Intelligence in Engineering
PublisherComputational Mechanics Publ
Pages295-303
Number of pages9
StatePublished - 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

Fingerprint

Chaotic systems
Stabilization
Fractals

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Russell, D. W. (1994). Stabilization of chaotic systems using the BOXES methodology. In Applications of Artificial Intelligence in Engineering (pp. 295-303). Computational Mechanics Publ.
Russell, D. W. / Stabilization of chaotic systems using the BOXES methodology. Applications of Artificial Intelligence in Engineering. Computational Mechanics Publ, 1994. pp. 295-303
@inproceedings{831d6292daeb4d79b1812916cce0124d,
title = "Stabilization of chaotic systems using the BOXES methodology",
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.",
author = "Russell, {D. W.}",
year = "1994",
language = "English (US)",
pages = "295--303",
booktitle = "Applications of Artificial Intelligence in Engineering",
publisher = "Computational Mechanics Publ",

}

Russell, DW 1994, Stabilization of chaotic systems using the BOXES methodology. in Applications of Artificial Intelligence in Engineering. Computational Mechanics Publ, pp. 295-303, Proceedings of the 9th International Conference on Applications of Artificial Intelligence in Engineering, University Park, PA, USA, 7/19/94.

Stabilization of chaotic systems using the BOXES methodology. / Russell, D. W.

Applications of Artificial Intelligence in Engineering. Computational Mechanics Publ, 1994. p. 295-303.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Stabilization of chaotic systems using the BOXES methodology

AU - Russell, D. W.

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0028600330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028600330&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0028600330

SP - 295

EP - 303

BT - Applications of Artificial Intelligence in Engineering

PB - Computational Mechanics Publ

ER -

Russell DW. Stabilization of chaotic systems using the BOXES methodology. In Applications of Artificial Intelligence in Engineering. Computational Mechanics Publ. 1994. p. 295-303