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Filtering method of new chaotic system based on EKF

LI Guo-hui1，2，LI Ya-an1，YANG Hong1，2   

  1. 1. College of Marine, Northwestern Polytechnical University, Xi’an 710072, China; 
    2. School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
  • Online:2013-09-17 Published:2010-01-03

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Abstract:

A new chaotic system is presented. Some basic dynamical properties are studied. The state estimation and filtering of a chaos system are important in chaos control, but the existing filtering algorithm cannot  adapt oneself to the characteristics of the chaos system, such as sensitivity to initial condition, longterm predictability. A filter applying to the chaos system is proposed based on chaos system state space theory and extended Kalman filter (EKF) theory. Simulation results show that the proposed algorithm is an effective method to estimate the parameter of chaos systems and filter.

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