Fuzzy model based adaptive synchronization of uncertain chaotic systems: Robust tracking control approach

Eun Ju Hwang; Chang Ho Hyun; Euntai Kim; Mignon Park

doi:10.1016/j.physleta.2009.03.057

Fuzzy model based adaptive synchronization of uncertain chaotic systems: Robust tracking control approach

Eun Ju Hwang, Chang Ho Hyun, Euntai Kim, Mignon Park

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

58 Citations (Scopus)

Abstract

This Letter presents fuzzy model-based robust tracking control for the adaptive synchronization of uncertain chaotic systems. Fuzzy model and adaptive algorithm are employed to present the unknown chaotic systems. H^∞ and sliding mode control are combined to construct a robust tracking controller. The incorporated H^∞ controller can attenuate the external disturbance and approximation error to any prescribed level. The proposed scheme guarantees that all the variables are bounded and the tracking error is compensated.

Original language	English
Pages (from-to)	1935-1939
Number of pages	5
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	373
Issue number	22
DOIs	https://doi.org/10.1016/j.physleta.2009.03.057
Publication status	Published - 2009 May 11

Bibliographical note

Funding Information:
This work was supported by MOCIE through UPRC program with Yonsei Electric Power Research Center (YEPRC) at Yonsei University, Seoul, Korea.

All Science Journal Classification (ASJC) codes

Physics and Astronomy(all)

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10.1016/j.physleta.2009.03.057

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abstract = "This Letter presents fuzzy model-based robust tracking control for the adaptive synchronization of uncertain chaotic systems. Fuzzy model and adaptive algorithm are employed to present the unknown chaotic systems. H∞ and sliding mode control are combined to construct a robust tracking controller. The incorporated H∞ controller can attenuate the external disturbance and approximation error to any prescribed level. The proposed scheme guarantees that all the variables are bounded and the tracking error is compensated.",

author = "Hwang, {Eun Ju} and Hyun, {Chang Ho} and Euntai Kim and Mignon Park",

note = "Funding Information: This work was supported by MOCIE through UPRC program with Yonsei Electric Power Research Center (YEPRC) at Yonsei University, Seoul, Korea.",

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AU - Hwang, Eun Ju

AU - Hyun, Chang Ho

AU - Kim, Euntai

AU - Park, Mignon

N1 - Funding Information: This work was supported by MOCIE through UPRC program with Yonsei Electric Power Research Center (YEPRC) at Yonsei University, Seoul, Korea.

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Y1 - 2009/5/11

N2 - This Letter presents fuzzy model-based robust tracking control for the adaptive synchronization of uncertain chaotic systems. Fuzzy model and adaptive algorithm are employed to present the unknown chaotic systems. H∞ and sliding mode control are combined to construct a robust tracking controller. The incorporated H∞ controller can attenuate the external disturbance and approximation error to any prescribed level. The proposed scheme guarantees that all the variables are bounded and the tracking error is compensated.

AB - This Letter presents fuzzy model-based robust tracking control for the adaptive synchronization of uncertain chaotic systems. Fuzzy model and adaptive algorithm are employed to present the unknown chaotic systems. H∞ and sliding mode control are combined to construct a robust tracking controller. The incorporated H∞ controller can attenuate the external disturbance and approximation error to any prescribed level. The proposed scheme guarantees that all the variables are bounded and the tracking error is compensated.

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Fuzzy model based adaptive synchronization of uncertain chaotic systems: Robust tracking control approach

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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