Generalized predictive control of discrete-time chaotic systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1591-1597 |
| Journal / Publication | International Journal of Bifurcation and Chaos in Applied Sciences and Engineering |
| Volume | 8 |
| Issue number | 7 |
| Publication status | Published - Jul 1998 |
| Externally published | Yes |
Link(s)
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.
Citation Format(s)
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, 07.1998, p. 1591-1597.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review
