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Differential Flatness Theory for Chaotic Dynamical Systems

  • Gerasimos G. RigatosEmail author
Chapter
  • 1.4k Downloads
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 25)

Abstract

The chapter analyzes differential flatness theory-based methods for nonlinear filtering and nonlinear control which can be applied to chaotic dynamical systems. A solution to the problem of control of nonlinear chaotic dynamical systems is proposed first, which is based on differential flatness theory and on adaptive fuzzy control. Next, differential flatness theory is exploited for developing a chaotic communication system. A differential flatness theory-based Kalman Filtering approach is used for performing blind equalization of the chaotic communication channel and for the synchronization between the transmitter and the receiver.

Keywords

Kalman Filter Chaotic System Extend Kalman Filter Chaotic Oscillator Unscented Kalman Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Unit of Industrial AutomationIndustrial Systems InstituteRion PatrasGreece

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