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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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 HIGH-IMPACT PAPER 

Fuzzy Sliding Mode Control for Hyper Chaotic Chen System

SARAILOO, M. See more information about SARAILOO, M. on SCOPUS See more information about SARAILOO, M. on IEEExplore See more information about SARAILOO, M. on Web of Science, RAHMANI, Z. See more information about  RAHMANI, Z. on SCOPUS See more information about  RAHMANI, Z. on SCOPUS See more information about RAHMANI, Z. on Web of Science, REZAIE, B. See more information about REZAIE, B. on SCOPUS See more information about REZAIE, B. on SCOPUS See more information about REZAIE, B. on Web of Science
 
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Download PDF pdficon (725 KB) | Citation | Downloads: 1,461 | Views: 5,628

Author keywords
nonlinear systems, chaos, fuzzy control, Lyapunov method, sliding mode control

References keywords
chaos(29), control(16), chaotic(16), solitons(14), fractals(14), systems(12), jchaos(12), sliding(10), mode(10), synchronization(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 85 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01014
Web of Science Accession Number: 000301075000014
SCOPUS ID: 84860754665

Abstract
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In this paper, a fuzzy sliding mode control method is proposed for stabilizing hyper chaotic Chen system. The main objective of the control scheme is to stabilize unstable equilibrium point of the system by controlling the states of the system so that they converge to a pre-defined sliding surface and remain on it. A fuzzy control technique is also utilized in order to overcome the main disadvantage of sliding mode control methods, i.e. chattering problem. It is shown that the equilibrium point of the system is stabilized by using the proposed method. A stability analysis is also performed to prove that the states of the system converge to the sliding surface and remain on it. Simulations show that the control method can be effectively applied to Chen system when it performs hyper chaotic behavior.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 11 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 12
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Cited-By CrossRef

[1] A CDM-backstepping control with nonlinear observer for electrically driven robot manipulator, Haouari, F., Bali, N., Tadjine, M., Boucherit, M. S., Automatic Control and Computer Sciences, ISSN 0146-4116, Issue 5, Volume 50, 2016.
Digital Object Identifier: 10.3103/S0146411616050047
[CrossRef]

[2] Adaptive intelligent terminal sliding mode controller for stabilizing a chaotic plasma torch system, Rezaie, Behrooz, Khari, Safa, Journal of Vibration and Control, ISSN 1077-5463, Issue 19-20, Volume 27, 2021.
Digital Object Identifier: 10.1177/1077546320959520
[CrossRef]

[3] Control of interconnected systems with sensor delay based on decentralized adaptive neural dynamic surface method, Beigzadehnoe, Barmak, Rahmani, Zahra, Khosravi, Alireza, Rezaie, Behrooz, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, ISSN 0959-6518, Issue 6, Volume 235, 2021.
Digital Object Identifier: 10.1177/0959651820966529
[CrossRef]

[4] A Novel Approach Based on Terminal Sliding Mode Control for Optimization of Nonlinear Systems, Zhang, Yan, Zhang, Yuteng, Fan, Qi, Song, Liang, IEEE Access, ISSN 2169-3536, Issue , 2020.
Digital Object Identifier: 10.1109/ACCESS.2020.3029866
[CrossRef]

[5] A Novel Chaotic System for Random Pulse Generation, GRIGORAS, V., GRIGORAS, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.02018
[CrossRef] [Full text]

[6] Fuzzy Sliding Mode Control for Sequencing Batch Reactor Wastewater Treatment Process, Fan, Li-Ping, Liu, Yi, Xie, Ying, Guo, Rui, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, ISSN 0021-9592, Issue 2, Volume 46, 2013.
Digital Object Identifier: 10.1252/jcej.12we146
[CrossRef]

[7] Digital Sliding Mode Control of Anti-Lock Braking System, MITIC, D. B., PERIC, S. Lj., ANTIC, D. S., JOVANOVIC, Z. D., MILOJKOVIC, M. T., NIKOLIC, S. S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.01006
[CrossRef] [Full text]

[8] Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller, Fei, Juntao, Chen, Yun, Liu, Lunhaojie, Fang, Yunmei, IEEE Transactions on Cybernetics, ISSN 2168-2267, Issue 9, Volume 52, 2022.
Digital Object Identifier: 10.1109/TCYB.2021.3052234
[CrossRef]

[9] Designing full-order sliding mode controller based on neural network for a class of chaotic systems, Karbini, Talayeh, Rahmani, Zahra, Rezaie, Behrooz, 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA), ISBN 978-1-6654-0350-4, 2021.
Digital Object Identifier: 10.1109/ICCIA52082.2021.9403584
[CrossRef]

[10] Reliability assessment of distribution system using fuzzy logic for modelling of transformer and line uncertainties, Shokrollahi, Ahmad, Sangrody, Hossein, Motalleb, Mahdi, Rezaeiahari, Mandana, Foruzan, Elham, Hassanzadeh, Fattah, 2017 North American Power Symposium (NAPS), ISBN 978-1-5386-2699-3, 2017.
Digital Object Identifier: 10.1109/NAPS.2017.8107257
[CrossRef]

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