Generalized predictive control of discrete-time chaotic systems

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

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

21 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
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Volume8
Issue number7
DOIs
Publication statusPublished - Jul 1998
Externally publishedYes

Fingerprint

Dive into the research topics of 'Generalized predictive control of discrete-time chaotic systems'. Together they form a unique fingerprint.

Cite this