Titlebook: Controlling Chaos; Suppression, Synchro Huaguang Zhang,Derong Liu,Zhiliang Wang Book 2009 Springer-Verlag London 2009 artificial intelligen

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Kurt Lange,Helmut Meinert,Heinz Arendcontroller which is optimal in a certain sense. In this chapter, we focus on two kinds of methods of suppressing chaos: the adaptive control method and the inverse optimal control method. We develop two new methods of parametric adaptive control for a class of discrete-time chaotic systems and a cla

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https://doi.org/10.1007/978-3-663-05069-8 system in nature is a nonlinear system, the theories and methods developed for controlling nonlinear systems could be utilized for synchronizing chaotic systems. The content of this chapter is about the synchronization of chaotic systems which can be described by ordinary differential equations and

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K. Leist,H. Flottmann,H. Scheeleng various parts of the system. Delays could arise as well from inherent physical phenomena like mass transport flow or recycling. Also, they could be by-products of computational delays or could intentionally be introduced for some design considerations. Such delays could be constant or time varyin

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https://doi.org/10.1007/978-3-663-05070-4he physical systems or qualitative criteria are too complex to model and they have provided an efficient and effective way in the control of complex uncertain nonlinear or illdefined systems. In recent years, fuzzy logic systems have received much attention from control theorists as a powerful tool

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Controlling Chaos978-1-84882-523-9Series ISSN 0178-5354 Series E-ISSN 2197-7119