Abstract
In this study, a controller design method is proposed for controlling the discrete-time chaotic systems. The proposed method is based on Generalized Predictive Control and uses NARMAX models as controlled models. In order to evaluate the performance of the proposed method, a proposed controller is applied to discrete-time chaotic systems, and then the control performance and initial sensitivity of the proposed controller are compared with those of the conventional model-based controller through computer simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 789-792 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 2 |
| Publication status | Published - 1997 Jan 1 |
| Event | Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong Duration: 1997 Jun 9 → 1997 Jun 12 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Control of discrete-time chaotic systems using generalized predictive control. / Park, Kwang Sung; Joo, Jin Man; Park, Jin Bae; Choi, Yoon Ho; Yoon, Tae Sung.
In: Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 2, 01.01.1997, p. 789-792.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Control of discrete-time chaotic systems using generalized predictive control
AU - Park, Kwang Sung
AU - Joo, Jin Man
AU - Park, Jin Bae
AU - Choi, Yoon Ho
AU - Yoon, Tae Sung
PY - 1997/1/1
Y1 - 1997/1/1
N2 - In this study, a controller design method is proposed for controlling the discrete-time chaotic systems. The proposed method is based on Generalized Predictive Control and uses NARMAX models as controlled models. In order to evaluate the performance of the proposed method, a proposed controller is applied to discrete-time chaotic systems, and then the control performance and initial sensitivity of the proposed controller are compared with those of the conventional model-based controller through computer simulations.
AB - In this study, a controller design method is proposed for controlling the discrete-time chaotic systems. The proposed method is based on Generalized Predictive Control and uses NARMAX models as controlled models. In order to evaluate the performance of the proposed method, a proposed controller is applied to discrete-time chaotic systems, and then the control performance and initial sensitivity of the proposed controller are compared with those of the conventional model-based controller through computer simulations.
UR - http://www.scopus.com/inward/record.url?scp=0030648319&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030648319&partnerID=8YFLogxK
M3 - Conference article
VL - 2
SP - 789
EP - 792
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
SN - 0271-4310
ER -