Parameter Estimation for Noisy Chaotic Systems Based on an Improved Particle Swarm Optimization

@inproceedings{Wei2015ParameterEF,
  title={Parameter Estimation for Noisy Chaotic Systems Based on an Improved Particle Swarm Optimization},
  author={Jiamin Wei and Yongguang Yu and Sha Wang},
  year={2015}
}
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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