Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach

Chang Kuo Chen; Jun Juh Yan; Teh Lu Liao; Meei Ling Hung

doi:10.1109/SMCIA.2008.5045982

Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach

Chang Kuo Chen, Jun Juh Yan, Teh Lu Liao, Meei Ling Hung

Department of Engineering Science

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

2 Citations (Scopus)

Abstract

This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.

Original language	English
Title of host publication	SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages	318-321
Number of pages	4
DOIs	https://doi.org/10.1109/SMCIA.2008.5045982
Publication status	Published - 2008 Dec 1
Event	2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan Duration: 2008 Jun 25 → 2008 Jun 27

Publication series

Name	SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Other

Other	2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
Country	Japan
City	Muroran
Period	08-06-25 → 08-06-27

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics
Software
Industrial and Manufacturing Engineering

Access to Document

10.1109/SMCIA.2008.5045982

Fingerprint Dive into the research topics of 'Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach'. Together they form a unique fingerprint.

Cite this

Chen, C. K., Yan, J. J., Liao, T. L., & Hung, M. L. (2008). Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications (pp. 318-321). [5045982] (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications). https://doi.org/10.1109/SMCIA.2008.5045982

Chen, Chang Kuo ; Yan, Jun Juh ; Liao, Teh Lu ; Hung, Meei Ling. / Chaos suppression of generalized lorenz system : adaptive fuzzy sliding mode control approach. SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. pp. 318-321 (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications).

@inproceedings{02106449bb824fafaa3b920b50eed1e5,

title = "Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach",

abstract = "This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.",

author = "Chen, {Chang Kuo} and Yan, {Jun Juh} and Liao, {Teh Lu} and Hung, {Meei Ling}",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/SMCIA.2008.5045982",

language = "English",

isbn = "9781424437825",

series = "SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications",

pages = "318--321",

booktitle = "SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications",

note = "2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Chen, CK, Yan, JJ, Liao, TL & Hung, ML 2008, Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach. in SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications., 5045982, SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications, pp. 318-321, 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08, Muroran, Japan, 08-06-25. https://doi.org/10.1109/SMCIA.2008.5045982

Chaos suppression of generalized lorenz system : adaptive fuzzy sliding mode control approach. / Chen, Chang Kuo; Yan, Jun Juh; Liao, Teh Lu; Hung, Meei Ling.

SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 318-321 5045982 (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications).

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

TY - GEN

T1 - Chaos suppression of generalized lorenz system

T2 - 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08

AU - Chen, Chang Kuo

AU - Yan, Jun Juh

AU - Liao, Teh Lu

AU - Hung, Meei Ling

PY - 2008/12/1

Y1 - 2008/12/1

N2 - This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.

AB - This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.

UR - http://www.scopus.com/inward/record.url?scp=70349269609&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349269609&partnerID=8YFLogxK

U2 - 10.1109/SMCIA.2008.5045982

DO - 10.1109/SMCIA.2008.5045982

M3 - Conference contribution

AN - SCOPUS:70349269609

SN - 9781424437825

T3 - SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

SP - 318

EP - 321

BT - SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Y2 - 25 June 2008 through 27 June 2008

ER -

Chen CK, Yan JJ, Liao TL, Hung ML. Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 318-321. 5045982. (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications). https://doi.org/10.1109/SMCIA.2008.5045982