PARAMETER ESTIMATION FOR NOISY CHAOTIC SYSTEMS BASED ON AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

Jiamin Wei; Yongguang Yu; Sha Wang

doi:10.11948/2015021

2015 Volume 5 Issue 2

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Jiamin Wei, Yongguang Yu, Sha Wang. PARAMETER ESTIMATION FOR NOISY CHAOTIC SYSTEMS BASED ON AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM[J]. Journal of Applied Analysis & Computation, 2015, 5(2): 232-242. doi: 10.11948/2015021

Citation:

Jiamin Wei, Yongguang Yu, Sha Wang. PARAMETER ESTIMATION FOR NOISY CHAOTIC SYSTEMS BASED ON AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM[J]. Journal of Applied Analysis & Computation, 2015, 5(2): 232-242. doi: 10.11948/2015021

PARAMETER ESTIMATION FOR NOISY CHAOTIC SYSTEMS BASED ON AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

Department of Mathematics, Beijing Jiaotong University, Beijing, 100044, P. R. China

Fund Project:

Abstract

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.
- Chaotic system /
- random noise /
- time delay /
- parameter estimation /
- particle swarm optimization algorithm
MSC: 34F05;34G20;65K05

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References

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