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新疆大学电气工程学院
Published:2020
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[1]宋健,王聪,张宏立.基于云模型的混合粒子群算法的统一混沌系统时变参数辨识[J].新疆大学学报(自然科学版)(中英文),2020,37(03):407-414.
[1]宋健,王聪,张宏立.基于云模型的混合粒子群算法的统一混沌系统时变参数辨识[J].新疆大学学报(自然科学版)(中英文),2020,37(03):407-414. DOI: 10.13568/j.cnki.651094.651316.2020.03.07.0001.
DOI:10.13568/j.cnki.651094.651316.2020.03.07.0001.
统一混沌系统是在内部参数改变时系统随之变化的一族混沌系统.为了求解统一混沌系统的辨识问题
提出了一种基于云模型的混合粒子群算法.该算法通过引入基于云模型的进化与变异策略提高辨识精度
通过交叉操作提升收敛速度
并利用抗差优化模型进一步提升算法的抗扰动能力.实验结果表明
在加入扰动的统一混沌系统中
该策略能够精确的辨识出时变参数
可有效避免算法陷入局部最优
且具有收敛速度快及抗扰动能力强的优点.
The chaotic system that changes with internal parameters is called a unified chaotic system. In order to solve the identification problem of unified chaotic system
a hybrid particle swarm algorithm based on cloud model is proposed. This algorithm improves the identification accuracy by cloud-based evolution and mutation strategy
the convergence speed through cross-operations
and the anti-disturbance ability by the robust optimization model.Experimental results show that the strategy can accurately identify the time-varying parameters of a unified chaotic system with disturbances. It can effectively avoid the algorithm falling into the local optimal
and has the advantages of fast convergence speed and strong anti-disturbance ability.
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