基于量子遗传算法的混沌系统异结构反同步
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  • 英文篇名:Inverse synchronization with heterogeneous structure of chaotic system based on quantum genetic algorithm
  • 作者:张海丽 ; 关保林 ; 任甜甜
  • 英文作者:ZHANG Haili;GUAN Baolin;REN Tiantian;Department of Electric Power Engineering, Xinjiang Institute of Engineering;Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute;
  • 关键词:混沌 ; 超混沌系统 ; 混沌反同步 ; 量子遗传算法 ; 反馈反同步
  • 英文关键词:chaos;;hyperchaotic system;;chaotic inverse synchronization;;quantum genetic algorithm;;feedback inverse synchronization
  • 中文刊名:LDXU
  • 英文刊名:Chinese Journal of Quantum Electronics
  • 机构:新疆工程学院电力工程系;新疆维吾尔自治区质量监督检验研究院;
  • 出版日期:2019-01-15
  • 出版单位:量子电子学报
  • 年:2019
  • 期:v.36;No.186
  • 语种:中文;
  • 页:LDXU201901012
  • 页数:7
  • CN:01
  • ISSN:34-1163/TN
  • 分类号:77-83
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(QGA)对反馈增益矩阵进行了参数优化,克服了反馈增益中参数不易整定的缺点.数值仿真结果表明,QGA结合反馈反同步法能使异结构的超混沌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QGA在解决异结构反同步问题上的可行性及有效性.
        Inverse synchronization of hyperchaotic systems with heterogeneous structure is investigated.The parameters of feedback gain matrix are optimized by using quantum genetic algorithm(QGA), which overcomes the difficulty of parameter tuning in feedback gain. Numerical simulation results show that the QGA combining with the feedback inverse synchronization method can make the hyperchaotic Chen system and Lorenz system of the heterogeneous structure achieve inverse synchronization quickly in a short time,which shows the superiority of the algorithm, and verifies the feasibility and effectiveness of QGA in solving the inverse synchronization problem of heterogeneous structure.
引文
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