Journal of System Simulation
Abstract
Abstract: Aiming at parameter estimation for fractional-order chaotic systems, a harmony gravitational search algorithm was proposed. The particles, which were updated by gravitational search algorithm, were recreated and searched through memory selections and probability search in harmony search algorithm. At the same times, in order to solve the problem that the speed changed too fast when the particles closed to the optimal solution, the partial adjustment probability was set to non-linearly decrease with the adsorption capacity increasing. Standard test functions were used to test the algorithm, and the test results show that the algorithm has good stability and global search capability. At last, the harmony gravitational search algorithm is applied in the parameter estimation for fractional-order Rӧssler system and fractional-order Lorenz system, and the estimation results show that the algorithm is effective and robust.
Recommended Citation
Yu, Huang; Wang, Jiarong; and Liang, Weiping
(2020)
"Harmony Gravitational Search Algorithm for Solving the Problem of Parameter Estimation for Fractional-order Chaotic Systems,"
Journal of System Simulation: Vol. 28:
Iss.
5, Article 7.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss5/7
First Page
1045
Revised Date
2015-04-23
DOI Link
https://doi.org/
Last Page
1053
CLC
TP273
Recommended Citation
Huang Yu, Wang Jiarong, Liang Weiping. Harmony Gravitational Search Algorithm for Solving the Problem of Parameter Estimation for Fractional-order Chaotic Systems[J]. Journal of System Simulation, 2016, 28(5): 1045-1053.
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