Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control

Won Ki Lee; Chang Ho Hyun; Euntai Kim; Mignon Park

doi:10.1109/SICE.2006.314668

Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control

Won Ki Lee, Chang Ho Hyun, Euntai Kim, Mignon Park

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents a model reference adaptive control approach for the synchronization of a discrete-time chaotic systems using output tracking control. Takagi-Sugeno (T-S) fuzzy model is employed to represent the discrete-time chaotic system. Then, the reference model system is chosen using the output of master system and design the control input so that the controlled slave system achieves asymptotic synchronization with the reference system given that two systems start from different initial conditions, different parameters and/or different type of model. Using a gradient algorithm, the ideal controller gains which can stabilize the error equation are estimated. Simulation examples of two cases are given to demonstrate the validity of our proposed adaptive method.

Original language	English
Title of host publication	2006 SICE-ICASE International Joint Conference
Pages	3816-3820
Number of pages	5
DOIs	https://doi.org/10.1109/SICE.2006.314668
Publication status	Published - 2006
Event	2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: 2006 Oct 18 → 2006 Oct 21

Publication series

Name	2006 SICE-ICASE International Joint Conference

Other

Other	2006 SICE-ICASE International Joint Conference
Country/Territory	Korea, Republic of
City	Busan
Period	06/10/18 → 06/10/21

All Science Journal Classification (ASJC) codes

Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2006.314668

Cite this

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title = "Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control",

abstract = "This paper presents a model reference adaptive control approach for the synchronization of a discrete-time chaotic systems using output tracking control. Takagi-Sugeno (T-S) fuzzy model is employed to represent the discrete-time chaotic system. Then, the reference model system is chosen using the output of master system and design the control input so that the controlled slave system achieves asymptotic synchronization with the reference system given that two systems start from different initial conditions, different parameters and/or different type of model. Using a gradient algorithm, the ideal controller gains which can stabilize the error equation are estimated. Simulation examples of two cases are given to demonstrate the validity of our proposed adaptive method.",

author = "Lee, {Won Ki} and Hyun, {Chang Ho} and Euntai Kim and Mignon Park",

year = "2006",

doi = "10.1109/SICE.2006.314668",

language = "English",

isbn = "8995003855",

series = "2006 SICE-ICASE International Joint Conference",

pages = "3816--3820",

booktitle = "2006 SICE-ICASE International Joint Conference",

note = "2006 SICE-ICASE International Joint Conference ; Conference date: 18-10-2006 Through 21-10-2006",

}

Lee, WK, Hyun, CH, Kim, E & Park, M 2006, Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control. in 2006 SICE-ICASE International Joint Conference., 4108426, 2006 SICE-ICASE International Joint Conference, pp. 3816-3820, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.314668

TY - GEN

T1 - Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control

AU - Lee, Won Ki

AU - Hyun, Chang Ho

AU - Kim, Euntai

AU - Park, Mignon

PY - 2006

Y1 - 2006

N2 - This paper presents a model reference adaptive control approach for the synchronization of a discrete-time chaotic systems using output tracking control. Takagi-Sugeno (T-S) fuzzy model is employed to represent the discrete-time chaotic system. Then, the reference model system is chosen using the output of master system and design the control input so that the controlled slave system achieves asymptotic synchronization with the reference system given that two systems start from different initial conditions, different parameters and/or different type of model. Using a gradient algorithm, the ideal controller gains which can stabilize the error equation are estimated. Simulation examples of two cases are given to demonstrate the validity of our proposed adaptive method.

AB - This paper presents a model reference adaptive control approach for the synchronization of a discrete-time chaotic systems using output tracking control. Takagi-Sugeno (T-S) fuzzy model is employed to represent the discrete-time chaotic system. Then, the reference model system is chosen using the output of master system and design the control input so that the controlled slave system achieves asymptotic synchronization with the reference system given that two systems start from different initial conditions, different parameters and/or different type of model. Using a gradient algorithm, the ideal controller gains which can stabilize the error equation are estimated. Simulation examples of two cases are given to demonstrate the validity of our proposed adaptive method.

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DO - 10.1109/SICE.2006.314668

M3 - Conference contribution

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SN - 8995003855

SN - 9788995003855

T3 - 2006 SICE-ICASE International Joint Conference

SP - 3816

EP - 3820

BT - 2006 SICE-ICASE International Joint Conference

T2 - 2006 SICE-ICASE International Joint Conference

Y2 - 18 October 2006 through 21 October 2006

ER -

Adaptive synchronization of discrete-time T-S fuzzy chaotic systems using output tracking control

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