Advanced Robot Control Algorithms Based on Fuzzy, Neural and Genetic Methods

被引：0
|
作者：
Pletl, Szilveszter [1 ]
Lantos, Beta [2 ]
机构：
[1] Institute of Electro-Mechanical Systems, Neuro-Fuzzy-Genetic Intelligent Control Research Center, Marka Oreskovica 16, Subotica,24000, Serbia
[2] Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, Pazmany Peter seiany 1/D, Budapest,H-1117, Hungary
来源：
Journal of Advanced Computational Intelligence and Intelligent Informatics | 2001年 / 5卷 / 02期
关键词：
Support for the research in advance robot control algorithms based on fuzzy; neural and genetic methods was provided by the Control Systems Research Group of the Hungarian Academy of Sciences and by the Hungarian National Research Programs undeT grant No. FKFP 0417/1997 and OTKAT 029072;
D O I：
10.20965/jaciii.2001.p0081
中图分类号：
学科分类号：
摘要：
10
引用
收藏
页码：81 / 89
相关论文
共 50 条
  • [21] Expert SMC-based fuzzy control with genetic algorithms
    Chen, JY
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1999, 336 (04): : 589 - 610
  • [22] Expert SMC-based fuzzy control with genetic algorithms
    Dept. of Electron. Eng., China Inst. of Tech. and Comm., No. 245 Sec. 3, Yen-Chiu-Yuan Road, Taipei, Taiwan
    J Franklin Inst, 4 (589-610):
  • [23] Power converter control based on neural and fuzzy methods
    Natl Yunlin Inst of Technology, Yunlin, Taiwan
    Electr Power Syst Res, 3 (193-206):
  • [24] Power converter control based on neural and fuzzy methods
    Lin, BR
    ELECTRIC POWER SYSTEMS RESEARCH, 1995, 35 (03) : 193 - 206
  • [25] A hybrid approach to adaptive fuzzy control based on genetic algorithms
    Cupertino, F
    Giordano, V
    Naso, D
    Turchiano, B
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3607 - 3612
  • [26] Genetic and Fuzzy logic Algorithms for Robot Path Finding
    Bajrami, Xhevahir
    Maloku, Sali
    Dermaku, Artan
    Kikaj, Adem
    Demaku, Nysret
    Kokaj, Agon
    2016 5TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2016, : 195 - 199
  • [27] Genetic algorithms for the design of fuzzy neural networks
    Watts, M
    Kasabov, N
    ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, : 793 - 796
  • [28] Control of a manipulator robot by neuro-fuzzy subsets form approach control optimized by the genetic algorithms
    Refoufi, Salim
    Benmahammed, Khier
    ISA TRANSACTIONS, 2018, 77 : 133 - 145
  • [29] Advanced methods for efficient Internet-based robot control
    Belousov, I
    Devy, M
    Alami, R
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 94 - 99
  • [30] Intelligent control based on genetic algorithms case study on mobile robot
    Meng, QC
    Sng, HL
    Zhou, CJ
    Ji, HB
    Dong, H
    IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS - PROCEEDINGS, 1998, : 252 - 256
12345