Generalized predictive control of discrete-time chaotic systems

Kwang Sung Park, Jin Bae Park, Yoon Ho Choi, Tae Sung Yoon, Guanrong Chen

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A generalized predictive control method based on an ARMAX model is suggested for chaos control in discrete-time systems. Both control performance and system sensitivity to initial conditions of this approach are compared with the conventional model-referenced adaptive control via numerical simulations. Simulation results show that this controller yields faster settling time, more accurate target tracking, and less initial sensitivity.

Original languageEnglish
Pages (from-to)1591-1597
Number of pages7
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume8
Issue number7
DOIs
Publication statusPublished - 1998 Jan 1

Fingerprint

Generalized Predictive Control
Chaotic systems
Discrete-time Systems
Chaotic System
Chaos Control
Target Tracking
Adaptive Control
Initial conditions
Controller
Numerical Simulation
Target tracking
Chaos theory
Model
Simulation
Controllers
Computer simulation

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Engineering (miscellaneous)
  • General
  • Applied Mathematics

Cite this

Park, Kwang Sung ; Park, Jin Bae ; Choi, Yoon Ho ; Yoon, Tae Sung ; Chen, Guanrong. / Generalized predictive control of discrete-time chaotic systems. In: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 1998 ; Vol. 8, No. 7. pp. 1591-1597.
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Generalized predictive control of discrete-time chaotic systems. / Park, Kwang Sung; Park, Jin Bae; Choi, Yoon Ho; Yoon, Tae Sung; Chen, Guanrong.

In: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, Vol. 8, No. 7, 01.01.1998, p. 1591-1597.

Research output: Contribution to journalArticle

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