Parameter estimation for time-delay chaotic system by particle swarm optimization
Chaos Solitons & FractalsPublished 14 November 2007
Yinggan Tang, Xinping Guan
Citations99
SJR quartileQ1
SJR score1.18
SNIP1.54
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Abstract
The knowledge about time delays and parameters is very important for control and synchronization of time-delay chaotic system. In this paper, parameter estimation for time-delay chaotic system is given by treating the time delay as an additional parameter. The parameter estimation is converted to an optimization problem, which finds a best parameter combination such that an objective function is minimized. Particle swarm optimization (PSO) is used to optimize the objective function through particles’ cooperation and evolution. Two illustrative examples are given to show the validity of the proposed method.
Keywords
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