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Synchronization of chaotic system with uncertain variable parameters by linear coupling and pragmatical adaptive tracking

dc.citation.epage2202en_US
dc.citation.issue3en_US
dc.citation.spage2187en_US
dc.citation.volume70en_US
dc.citation.woscount3
dc.contributor.authorYang, Cheng-Hsiungen_US
dc.contributor.authorLi, Shih-Yuen_US
dc.contributor.authorTsen, Pu-Chienen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.contributor.departmentBrain Research Centeren_US
dc.date.accessioned2014-12-08T15:28:34Z
dc.date.available2014-12-08T15:28:34Z
dc.date.issued2012-11-01en_US
dc.description.abstractWe study the synchronization of general chaotic systems which satisfy the Lipschitz condition only, with uncertain variable parameters by linear coupling and pragmatical adaptive tracking. The uncertain parameters of a system vary with time due to aging, environment, and disturbances. A sufficient condition is given for the asymptotical stability of common zero solution of error dynamics and parameter update dynamics by the Ge-Yu-Chen pragmatical asymptotical stability theorem based on equal probability assumption. Numerical results are studied for a Lorenz system and a quantum cellular neural network oscillator to show the effectiveness of the proposed synchronization strategy.en_US
dc.identifier.doi10.1007/s11071-012-0609-6en_US
dc.identifier.issn0924-090Xen_US
dc.identifier.journalNONLINEAR DYNAMICSen_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11071-012-0609-6en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/20672
dc.identifier.wosnumberWOS:000310089000039
dc.language.isoen_USen_US
dc.subjectQuantum Cellular Neural Network (Quantum-CNN)en_US
dc.subjectLipschitz condition chaos synchronizationen_US
dc.subjectPragmatical asymptotical stabilityen_US
dc.subjectUncertain variable parameteren_US
dc.titleSynchronization of chaotic system with uncertain variable parameters by linear coupling and pragmatical adaptive trackingen_US
dc.typeArticleen_US

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