Optimal design of normalized fuzzy neural network controller based on quantum genetic algorithm

被引：0
|
作者：
Li, Pan-Chi
Li, Shi-Yong
机构：
[1] Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
[2] School of Computer and Information Technology, Daqing Petroleum Institute, Daqing 163318, China
来源：
Xitong Fangzhen Xuebao / Journal of System Simulation | 2007年 / 19卷 / 16期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A quantum genetic algorithm was proposed to design the parameters of a normalized fuzzy neural network controller. In this method, chromosomes are comprised of quantum bits, and are updated by quantum rotation gate, and are mutated by quantum non-gate. The probability amplitudes of each quantum bit are regarded as two paratactic genes, each chromosome contains two chains of genes, and each chain of genes represents an optimization result, which can accelerate convergence process and increase successful probability for the same number of chromosomes. The parameters of the normalized fuzzy neural network controller were encoded into some individuals, and the initial colony was formed by some random individuals. A global searching was performed by quantum genetic algorithm. The simulation results show the effectiveness of this method.
引用
收藏
页码：3710 / 3714
相关论文
共 50 条
  • [1] Fuzzy controller based on neural network with genetic algorithm learning
    Wu, Fanghui
    Mao, Zongyuan
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 1999, 27 (01): : 91 - 95
  • [2] Design of wavelet neural network controller based on genetic algorithm
    Song, Qing-Kun
    Wang, Jian-Shuang
    Wang, Mu-Kun
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2010, 14 (04): : 102 - 106
  • [3] Fuzzy Wavelet Neural Network Controller Design for Vehicle Active Suspensions Based on Genetic Algorithm
    Zhang, Chunling
    Xue, Wenping
    Li, Kangji
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 5607 - 5612
  • [4] Design of Wavelet Neural Network Controller Based on Genetic Algorithm
    Duan, Jie
    Jiang, Yan
    Zhao, Jingbo
    Tang, Yongwei
    2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC), 2017, : 1109 - 1112
  • [5] Genetic algorithm-based optimal fuzzy controller design in the linguistic space
    Chou, Chih-Hsun
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (03) : 372 - 385
  • [6] Apple recognition based on fuzzy neural network and quantum genetic algorithm
    Ma, Xiaodan
    Liu, Gang
    Zhou, Wei
    Feng, Juan
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2013, 44 (12): : 227 - 232
  • [7] Neural-network-based optimal fuzzy controller design for nonlinear systems
    Wu, SJ
    Chiang, HH
    Lin, HT
    Lee, TT
    FUZZY SETS AND SYSTEMS, 2005, 154 (02) : 182 - 207
  • [8] Neuro-Fuzzy Fitness in a Genetic Algorithm for Optimal Fuzzy Controller Design
    Castillo, Oscar
    Melendez, Abraham
    Melin, Patricia
    Astudillo, Leslie
    2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
  • [9] Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller
    Zhang, Tianhu
    Liu, Yuanjun
    Rao, Yandi
    Li, Xiaopeng
    Zhao, Qingxin
    BUILDING AND ENVIRONMENT, 2020, 175
  • [10] Genetic Algorithm Based Optimal Design of Fuzzy Logic Controller for Active Magnetic Bearings
    Reddy, Anand Shivanappa
    Agarwal, Praveen Kumar
    Chand, Satish
    2014 INTERNATIONAL CONFERENCE ON POWER, CONTROL AND EMBEDDED SYSTEMS (ICPCES), 2014,
12345