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      Passivity-Based Adaptive Hybrid Synchronization of a New Hyperchaotic System with Uncertain Parameters

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          Abstract

          We investigate the adaptive hybrid synchronization problem for a new hyperchaotic system with uncertain parameters. Based on the passivity theory and the adaptive control theory, corresponding controllers and parameter estimation update laws are proposed to achieve hybrid synchronization between two identical uncertain hyperchaotic systems with different initial values, respectively. Numerical simulation indicates that the presented methods work effectively.

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          Most cited references21

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          An equation for hyperchaos

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            Passivity, feedback equivalence, and the global stabilization of minimum phase nonlinear systems

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              Passive equivalence of chaos in Lorenz system

              Wen Yu (1999)
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                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                The Scientific World Journal
                1537-744X
                2012
                27 December 2012
                : 2012
                : 920170
                Affiliations
                1School of Information Science and Engineering, Yunnan University, Kunming, Yunnan 650091, China
                2Bureau of Asset Management, Yunnan University, Kunming, Yunnan 650091, China
                Author notes

                Academic Editors: V. Deshmukh and A. Szekrenyes

                Author information
                https://orcid.org/0000-0003-1983-0971
                https://orcid.org/0000-0002-9940-0703
                https://orcid.org/0000-0002-0258-6741
                https://orcid.org/0000-0002-8832-4725
                Article
                10.1100/2012/920170
                3543793
                23365538
                f07f7f57-cff2-43cb-bea5-5cef3178932c
                Copyright © 2012 Xiaobing Zhou et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 1 October 2012
                : 12 December 2012
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