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Volume 5, Number 2, 2015, Pages 232-242                                                                DOI:10.11948/2015021
Parameter estimation for noisy chaotic systems based on an improved particle swarm optimization algorithm
Jiamin Wei,Yongguang Yu,Sha Wang
Keywords:Chaotic system, random noise, time delay, parameter estimation, particle swarm optimization algorithm.
Abstract:
      It is of great importance to estimate the unknown parameters and time delays of chaotic systems in control and synchronization. This paper is concerned with the uncertain parameters and time delays of chaotic systems corrupted with random noise. Parameters and time delays of such chaotic systems are estimated based on the improved particle swarm optimization algorithm for its global searching ability. Numerical simulations are given to show satisfactory results.
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