Application of Genetic Algorithms in Adaptive Control Systems Design

被引：0
|
作者：
Ignatiev, K. V. [1 ]
Sheludko, V. N. [1 ]
Serykh, E. V. [1 ]
Rusyaeva, T. L. [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Control Syst Dept, St Petersburg, Russia
来源：
PROCEEDINGS OF 2017 XX IEEE INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM) | 2017年
关键词：
Genetic algorithms; adaptive control system; elastic electromechanical system;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The paper deals with direct searchless adaptive control systems design based on genetic algorithms application. Real number genotype coding is used in the paper. As a fitness function a greatest sum of absolute values of differences between plant step response and reference model step response a in a presence of plant parameters varying [BK1] is used. A method proposed is considered by the example of adaptive control system for double mass elastic electromechanical system.
引用
收藏
页码：386 / 388
页数：3
相关论文
共 50 条
  • [41] Designing automotive embedded systems with adaptive genetic algorithms
    Aldeida Aleti
    Automated Software Engineering, 2015, 22 : 199 - 240
  • [42] Adaptive mutation rate control schemes in genetic algorithms
    Thierens, D
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 980 - 985
  • [43] New adaptive control strategies for parameters of genetic algorithms
    Research Institute of Automation, East China University of Science and Technology, Shanghai 200237, China
    不详
    Hua Dong Li Gong Da Xue/J East China Univ Sci Technol, 2006, 5 (601-606):
  • [44] Application of genetic algorithms for optimising process systems
    Bochenek, R
    Jezowski, J
    Sloma, R
    INZYNIERIA CHEMICZNA I PROCESOWA, 2001, 22 (3B): : 247 - 252
  • [45] DNA genetic algorithms for design of fuzzy systems
    Ren, LH
    Ding, YS
    Shao, SH
    NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2, 2000, : 1005 - 1008
  • [46] Design of normalized fractional adaptive algorithms for parameter estimation of control autoregressive autoregressive systems
    Chaudhary, Naveed Ishtiaq
    Ahmed, Mateen
    Khan, Zeeshan Aslam
    Zubair, Syed
    Raja, Muhammad Asif Zahoor
    Dedovic, Nebojsa
    APPLIED MATHEMATICAL MODELLING, 2018, 55 : 698 - 715
  • [47] Application of genetic algorithms to hypersonic flight control
    Austin, KJ
    Jacobs, PA
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 2428 - 2433
  • [48] Application of Genetic Algorithms for control of combustion process
    Wójcik, W
    Golec, T
    Kalita, M
    LIGHTGUIDES AND THEIR APPLICATIONS II, 2004, 5576 : 373 - 376
  • [49] Genetic algorithms for optimal feedback control design
    Kundu, S
    Kawata, S
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1996, 9 (04) : 403 - 411
  • [50] A Novel Railway Power Systems Design Methodology Using Genetic Algorithms: Models and Application
    Ruvio, Alessandro
    Falvo, Maria Carmen
    Lamedica, Regina
    Dell'Olmo, Jacopo
    Scanzano, Matteo
    IEEE ACCESS, 2024, 12 : 128468 - 128481
12345