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Chaos synchronization and chaos control of quantum-CNN chaotic system by variable structure control and impulse control

dc.citation.epage1985en_US
dc.citation.issue3en_US
dc.citation.spage1977en_US
dc.citation.volume11en_US
dc.citation.woscount4
dc.contributor.authorYang, Cheng-Hsiungen_US
dc.contributor.authorGe, Zheng-Mingen_US
dc.contributor.authorChang, Ching-Mingen_US
dc.contributor.authorLi, Shih-Yuen_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.date.accessioned2014-12-08T15:06:51Z
dc.date.available2014-12-08T15:06:51Z
dc.date.issued2010-06-01en_US
dc.description.abstractIn this paper, we derive some less stringent conditions for the exponential and asymptotic stability of impulsive control systems with impulses at fixed times These conditions are then used to design an impulsive control law for the Quantum Cellular Neural Network chaotic system, which drives the chaotic state to zero equilibrium and synchronizes two chaotic systems. An active sliding mode control method is synchronizing two chaotic systems and controlling chaotic state to periodic motion state And a sufficient condition is drawn for the robust stability of the error dynamics, and is applied to guiding the design of the controllers. Finally, numerical results are used to show the robustness and effectiveness of the proposed control strategy. (C) 2010 Published by Elsevier Ltden_US
dc.identifier.doi10.1016/j.nonrwa.2009.04.019en_US
dc.identifier.issn1468-1218en_US
dc.identifier.journalNONLINEAR ANALYSIS-REAL WORLD APPLICATIONSen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.nonrwa.2009.04.019en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/5367
dc.identifier.wosnumberWOS:000278768800071
dc.language.isoen_USen_US
dc.subjectQuantum Cellular Neural Network (Quantum-CNN)en_US
dc.subjectChaos synchronizationen_US
dc.subjectChaos controlen_US
dc.titleChaos synchronization and chaos control of quantum-CNN chaotic system by variable structure control and impulse controlen_US
dc.typeArticleen_US

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