Optimal tuning of fractional controllers using genetic algorithms

被引：0
|
作者：
J. A. Tenreiro Machado
机构：
[1] Institute of Engineering of Porto,Dept. of Electrical Engineering
来源：
Nonlinear Dynamics | 2010年 / 62卷
关键词：
Fractional derivatives; Fractional calculus; Optimization; Genetic algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study addresses the optimization of fractional algorithms for the discrete-time control of linear and non-linear systems. The paper starts by analyzing the fundamentals of fractional control systems and genetic algorithms. In a second phase the paper evaluates the problem in an optimization perspective. The results demonstrate the feasibility of the evolutionary strategy and the adaptability to distinct types of systems.
引用
收藏
页码：447 / 452
页数：5
相关论文
共 50 条
  • [31] Automatic optimal design of fuzzy controllers based on genetic algorithms
    Osmera, P
    Matousek, R
    Stastny, J
    PROCEEDINGS OF THE THIRD NORDIC WORKSHOP ON GENETIC ALGORITHMS AND THEIR APPLICATIONS (3NWGA), 1997, : 265 - 274
  • [32] On designing fuzzy controllers using genetic algorithms
    Tan, GV
    Hu, XH
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 905 - 911
  • [33] Supervision of fuzzy controllers using genetic algorithms
    Cardoso, FDS
    Custodio, LMM
    Pinto-Ferreira, CA
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1241 - 1246
  • [34] MULTIOBJECTIVE TUNING OF ROBUST GPC CONTROLLERS USING EVOLUTIONARY ALGORITHMS
    Herrero, J. M.
    Blasco, X.
    Martinez, M.
    Sanchis, J.
    IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, 2009, : 263 - 268
  • [35] Multiobjective tuning of robust PID controllers using evolutionary algorithms
    Herrero, J. M.
    Blasco, X.
    Martinez, M.
    Sanchis, J.
    APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 2008, 4974 : 515 - 524
  • [36] Simulation of fine gain tuning using genetic algorithms for model-based robotic servo controllers
    Nagata, Fusaomi
    Kuribayashi, Katsutoshi
    Kiguchi, Kazuo
    Watanabe, Keigo
    2007 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, 2007, : 460 - +
  • [37] Optimal tuning of fractional-order controllers based on Fibonacci-search method
    Horla, Dariusz
    Sadalla, Talar
    ISA TRANSACTIONS, 2020, 104 : 287 - 298
  • [38] Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers
    Zhou, Yongquan
    Miao, Fahui
    Luo, Qifang
    APPLIED SOFT COMPUTING, 2019, 77 : 497 - 508
  • [39] Realization of fractional order controllers by using multiple tuning-rules
    Yan, Zhe
    He, Jing
    Li, Yingyan
    Li, Kai
    Song, Changqi
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013, 6 (06) : 119 - 128
  • [40] DESIGNING FUZZY NET CONTROLLERS USING GENETIC ALGORITHMS
    KIM, JW
    MOON, YK
    ZEIGLER, BP
    IEEE CONTROL SYSTEMS MAGAZINE, 1995, 15 (03): : 66 - 72
12345