量子电子学报

• 量子光学 • 上一篇    下一篇

基于量子遗传算法的混沌系统异结构反同步

张海丽1) † 关保林2)任甜甜1)   

  1. (1 新疆工程学院电力工程系,新疆 乌鲁木齐市,830091; 2 新疆维吾尔自治区质量监督检验研究院,新疆 乌鲁木齐市 830011)
  • 出版日期:2019-01-28 发布日期:2019-01-17
  • 作者简介:张海丽(1989-),女,新疆人,讲师,从事量子物理学,电气工程智能控制和教学。Email:425287215@qq.com

Chaotic Anti-synchronization Based on Quantum Genetic Algorithm

Zhang Haili1) † Guan Baolin2) Ren Tiantian1)   

  1. (1 Xinjiang Institute of Engineering,Department of electric power engineering,Urumqi,830091,China; 2 Xinjiang Uygur Autonomous Regiin Product Quality Supervision and Inspection Institute,Urumqi,830011,China )
  • Published:2019-01-28 Online:2019-01-17

摘要: 对异结构超混沌系统的反同步问题进行了研究。利用量子遗传算法对反馈增益矩阵进行参数优化,克服了反馈增益中参数不易整定的缺陷。数值仿真实验表明,量子遗传算法结合反馈反同步法能够使异结构的超混沌Chen系统和Lorenz系统在短时间内迅速达到反同步,体现了该算法的优越性,并验证了量子遗传算法在解决异结构反同步问题上的可行性以及有效性。

关键词: 超混沌系统, 混沌反同步, 量子遗传算法, 反馈反同步

Abstract: Anti-synchronization of hyperchaotic systems with different structures were studied for combing Quantum Genetic Algorithm(QGA) with feedback anti-synchronization. The parameters of the feedback gain matrix are optimized by the Quantum Genetic Algorithm, which overcomes the difficulty of the parameter tuning in the feedback gain. The numerical simulation experiments show that the quantum genetic algorithm combined with the feedback inverse synchronization method can make the Hyperchaotic Chen system and Lorenz system of the heterogeneous structure quickly achieve the inverse synchronization in a short time, which shows the superiority of the algorithm, and verifies the feasibility and effectiveness of the quantum genetic algorithm in solving the inverse synchronization problem of heterogeneous structures.

Key words: Hyperchaotic system, Chaotic Anti-synchronization, Quantum Genetic Algorithm, Feedback anti-synchronization