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
  • [31] Fuzzy Neural Network Controller Based on Improved Genetic Algorithm for Temperature of Glass Tempering and Annealing Process
    Wang, Xiaokan
    Sun, Zhongliang
    Guo, Sanci
    Shen, Chaoqun
    MATERIALS PROCESSING TECHNOLOGIES, PTS 1 AND 2, 2011, 154-155 : 214 - +
  • [32] GENETIC ALGORITHM-BASED FUZZY CONTROLLER TO AVOID NETWORK CONGESTION
    Liu, Weirong
    Yi, Jianqiang
    Zhao, Dongbin
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2009, 15 (02): : 237 - 248
  • [33] The design and application of neural network controller based on genetic algorithms
    Sun, XM
    Ren, CM
    Wu, YW
    Ning, LQ
    Wang, JR
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1318 - 1321
  • [34] Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network
    Zhang, Xiaochen
    Gao, Hongli
    Huang, Haifeng
    SHOCK AND VIBRATION, 2015, 2015
  • [35] Manipulator neural network control based on fuzzy genetic algorithm
    Cui, P.
    Yang, G.
    High Technology Letters, 2001, 7 (01) : 63 - 66
  • [36] Manipulator Neural Network Control Based on Fuzzy Genetic Algorithm
    崔平远
    High Technology Letters, 2001, (01) : 63 - 66
  • [37] A genetic algorithm based fuzzy-tuned neural network
    Ling, SH
    Lam, HK
    Leung, FHF
    Lee, YS
    PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, 2003, : 220 - 225
  • [38] Adaptive Fuzzy Neural Network Control Based on Genetic Algorithm
    Chen, Jian
    2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021), 2021, : 393 - 396
  • [39] Fuzzy Logic Controller Design Based on Genetic Algorithm for DC Motor
    Liu, Chun-juan
    Li, Bian-xia
    Yang, Xiao-xu
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 2662 - 2665
  • [40] Fuzzy-integration controller design of UAV based on genetic algorithm
    Tang, Sheng-Jing
    Song, Xiang
    Guo, Jie
    Ma, Yue-Yue
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2013, 33 (12): : 1274 - 1278
12345