Abstract
In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 724-732 |
| Number of pages | 9 |
| Journal | Journal of Electrical Engineering and Technology |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2016 May |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.
In: Journal of Electrical Engineering and Technology, Vol. 11, No. 3, 05.2016, p. 724-732.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems
AU - Koo, Geun Bum
AU - Park, Jin Bae
AU - Joo, Young Hoon
PY - 2016/5
Y1 - 2016/5
N2 - In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
AB - In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
UR - http://www.scopus.com/inward/record.url?scp=84962868624&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962868624&partnerID=8YFLogxK
U2 - 10.5370/JEET.2016.11.3.724
DO - 10.5370/JEET.2016.11.3.724
M3 - Article
AN - SCOPUS:84962868624
VL - 11
SP - 724
EP - 732
JO - Journal of Electrical Engineering and Technology
JF - Journal of Electrical Engineering and Technology
SN - 1975-0102
IS - 3
ER -