Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems

Chia Wen Chang; Yen Jen Su; Chang Hung Hsu; Chin Wang Tao

doi:10.1109/ICMLC.2018.8526961

Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems

Chia Wen Chang
, Yen Jen Su
, Chang Hung Hsu
, Chin Wang Tao

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

Abstract

The backstepping based adaptive tracking controller (BATC) is proposed for a chaotic dynamic system. BATC system is proposed based on the finite-Time stability theorem and backstepping technique. Moreover, the unknown nonlinear function of chaotic system can be approximated by a neural network (NN) approximation technique. Based on Lyapunov method, the closed-loop stability of chaotic control system is analyzed in this paper. Finally, simulation results illustrated the validity of the proposed BATC for the chaotic system regarding the unknown dynamic function.¹

Original language	English
Title of host publication	Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018
Publisher	IEEE Computer Society
Pages	63-68
Number of pages	6
ISBN (Electronic)	9781538652121
DOIs	https://doi.org/10.1109/ICMLC.2018.8526961
State	Published - 07 11 2018
Externally published	Yes
Event	17th International Conference on Machine Learning and Cybernetics, ICMLC 2018 - Chengdu, China Duration: 15 07 2018 → 18 07 2018

Publication series

Name	Proceedings - International Conference on Machine Learning and Cybernetics
Volume	1
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	17th International Conference on Machine Learning and Cybernetics, ICMLC 2018
Country/Territory	China
City	Chengdu
Period	15/07/18 → 18/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Adaptive control
Backstepping
Chaotic system
Neural networks

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10.1109/ICMLC.2018.8526961

Cite this

Chang, C. W., Su, Y. J., Hsu, C. H., & Tao, C. W. (2018). Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems. In Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018 (pp. 63-68). Article 8526961 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2018.8526961

@inproceedings{2893f600313a458ba9aba7cc6dd12f5d,

title = "Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems",

abstract = "The backstepping based adaptive tracking controller (BATC) is proposed for a chaotic dynamic system. BATC system is proposed based on the finite-Time stability theorem and backstepping technique. Moreover, the unknown nonlinear function of chaotic system can be approximated by a neural network (NN) approximation technique. Based on Lyapunov method, the closed-loop stability of chaotic control system is analyzed in this paper. Finally, simulation results illustrated the validity of the proposed BATC for the chaotic system regarding the unknown dynamic function.1",

keywords = "Adaptive control, Backstepping, Chaotic system, Neural networks",

author = "Chang, \{Chia Wen\} and Su, \{Yen Jen\} and Hsu, \{Chang Hung\} and Tao, \{Chin Wang\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th International Conference on Machine Learning and Cybernetics, ICMLC 2018 ; Conference date: 15-07-2018 Through 18-07-2018",

year = "2018",

month = nov,

day = "7",

doi = "10.1109/ICMLC.2018.8526961",

language = "英语",

series = "Proceedings - International Conference on Machine Learning and Cybernetics",

publisher = "IEEE Computer Society",

pages = "63--68",

booktitle = "Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018",

address = "美国",

}

Chang, CW, Su, YJ, Hsu, CH & Tao, CW 2018, Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems. in Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018., 8526961, Proceedings - International Conference on Machine Learning and Cybernetics, vol. 1, IEEE Computer Society, pp. 63-68, 17th International Conference on Machine Learning and Cybernetics, ICMLC 2018, Chengdu, China, 15/07/18. https://doi.org/10.1109/ICMLC.2018.8526961

Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems. / Chang, Chia Wen; Su, Yen Jen; Hsu, Chang Hung et al.
Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018. IEEE Computer Society, 2018. p. 63-68 8526961 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 1).

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

TY - GEN

T1 - Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems

AU - Chang, Chia Wen

AU - Su, Yen Jen

AU - Hsu, Chang Hung

AU - Tao, Chin Wang

PY - 2018/11/7

Y1 - 2018/11/7

N2 - The backstepping based adaptive tracking controller (BATC) is proposed for a chaotic dynamic system. BATC system is proposed based on the finite-Time stability theorem and backstepping technique. Moreover, the unknown nonlinear function of chaotic system can be approximated by a neural network (NN) approximation technique. Based on Lyapunov method, the closed-loop stability of chaotic control system is analyzed in this paper. Finally, simulation results illustrated the validity of the proposed BATC for the chaotic system regarding the unknown dynamic function.1

AB - The backstepping based adaptive tracking controller (BATC) is proposed for a chaotic dynamic system. BATC system is proposed based on the finite-Time stability theorem and backstepping technique. Moreover, the unknown nonlinear function of chaotic system can be approximated by a neural network (NN) approximation technique. Based on Lyapunov method, the closed-loop stability of chaotic control system is analyzed in this paper. Finally, simulation results illustrated the validity of the proposed BATC for the chaotic system regarding the unknown dynamic function.1

KW - Adaptive control

KW - Backstepping

KW - Chaotic system

KW - Neural networks

UR - https://www.scopus.com/pages/publications/85058044718

U2 - 10.1109/ICMLC.2018.8526961

DO - 10.1109/ICMLC.2018.8526961

M3 - 会议稿件

AN - SCOPUS:85058044718

T3 - Proceedings - International Conference on Machine Learning and Cybernetics

SP - 63

EP - 68

BT - Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018

PB - IEEE Computer Society

T2 - 17th International Conference on Machine Learning and Cybernetics, ICMLC 2018

Y2 - 15 July 2018 through 18 July 2018

ER -

Adaptive Backstepping Tracking Controller Design for Chaotic Dynamic Systems

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