A software development system for fuzzy control

被引：0
|
作者：
Yang, L [1 ]
Guo, YK [1 ]
Huang, X [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Patern Recognit, Shanghai 200030, Peoples R China
来源：
ROBOTICA | 2000年 / 18卷
关键词：
fuzzy control; rule generation; multi-layer feedforward network; genetic algorithm;
D O I：
暂无
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
Fuzzy control has been widely applied in industrial controls and domestic electrical equipment. The automatic learning of fuzzy rules is a key technique in fuzzy control. In this paper, a software development system for fuzzy control is presented. Since the learning of fuzzy rules can be seen as finding the best classifications of fuzzy memberships of input-output variables in a fuzzy controller, it can also be seen as the combination optimization of input-output fuzzy memberships. Multi-layer feedforward network and genetic algorithms (GA) can be used for the automatic learning of fuzzy rules. The algorithms and their characteristics are described. The software development system has been successfully used for the design of some fuzzy controllers.
引用
收藏
页码：375 / 380
页数：6
相关论文
共 50 条
  • [31] Development of an Internet and Fuzzy Based Control System of Manufacturing Process
    Hanane Zermane
    Hayet Mouss
    [J]. International Journal of Automation and Computing, 2017, 14 (06) : 706 - 718
  • [32] Development of a NC Servo System based on Fuzzy Adaptive Control
    Cao, J.
    Li, Z. W.
    Meng, Z. X.
    [J]. MANUFACTURING AUTOMATION TECHNOLOGY, 2009, 392-394 : 314 - 319
  • [33] Development of the automatic supervisory control system based on fuzzy inference
    Denisova, L. A.
    Alekseytsev, D. M.
    Meshcheryakov, V. A.
    [J]. MECHANICAL SCIENCE AND TECHNOLOGY UPDATE (MSTU 2019), 2019, 1260
  • [34] Traffic light control system development based on fuzzy algorithm
    College of Aeronautic Automation, Civil Aviation University of China, Tianjin 300300, China
    不详
    [J]. Int. Conf. Fuzzy Syst. Knowl. Discov., FSKD, (186-190):
  • [35] Development of an internet and fuzzy based control system of manufacturing process
    Zermane H.
    Mouss H.
    [J]. International Journal of Automation and Computing, 2017, 14 (06) : 706 - 718
  • [36] A Development of Fuzzy Control of Hybrid Energy System using Ultracapacitor
    Annuar, A. Z.
    Yatim, A. H. M.
    [J]. 2008 IEEE 2ND INTERNATIONAL POWER AND ENERGY CONFERENCE: PECON, VOLS 1-3, 2008, : 808 - 812
  • [37] The development and experimental testing of a fuzzy control system for batch distillation
    Fileti, AMF
    Pereira, RD
    Pereira, JAFR
    [J]. BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING, 2002, 19 (01) : 1 - 10
  • [38] Development of Advanced Energy Storage System using Fuzzy Control
    Muntaser, Akram
    Elwarfalli, Hamed
    Kumar, Jitendra
    Subramanyam, Guru
    [J]. PROCEEDINGS OF THE 2016 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON) AND OHIO INNOVATION SUMMIT (OIS), 2016, : 179 - 182
  • [39] The Development of ESP Control System Based on the Fuzzy-PID Control Strategy
    Wang, Liang-mo
    An, Li-hua
    Tan, Li
    Wu, Zhi-lin
    Li, Li
    [J]. MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 1907 - +
  • [40] Application Model in AUTOSAR Software Development for Control Systems Design Through Fuzzy Methods
    Spirleanu, Cristian
    Diaconescu, Eugen
    [J]. 30TH SIAR INTERNATIONAL CONGRESS OF AUTOMOTIVE AND TRANSPORT ENGINEERING: SCIENCE AND MANAGEMENT OF AUTOMOTIVE AND TRANSPORTATION ENGINEERING, 2020, : 508 - 517
12345