Soft computing paradigms for hybrid fuzzy controllers: Experiments and applications

被引：0
|
作者：
Akbarzadeh, MR [1 ]
Tunstel, E [1 ]
Kumbla, K [1 ]
Jamshidi, M [1 ]
机构：
[1] Univ New Mexico, NASA, Ctr Autonomous Control Engn, Albuquerque, NM 87131 USA
来源：
1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Neural Networks (NN), Genetic Algorithms (GA), and Genetic Programs (GP) are often augmented with fuzzy logic-based schemes to enhance artificial intelligence of a. given system. Such hybrid combinations are expected to exhibit added intelligence, adaptation, and learning ability. In this paper, implementation of three hybrid fuzzy controllers are discussed and verified by experimental results. These hybrid controllers consist of a hierarchical NN-fuzzy controller applied to a direct drive motor, a GA-fuzzy hierarchical controller applied to a flexible robot link, and a GP-fuzzy behavior-based controller applied to a mobile robot navigation task. It is experimentally shown that all three architectures are capable of significantly improving the system response.
引用
下载
收藏
页码：1200 / 1205
页数：6
相关论文
共 50 条
  • [21] Performance of Soft Computing Controllers in Hemodialysis Machines
    József Klespitz
    Márta Takács
    Imre Rudas
    Levente Kovács
    International Journal of Fuzzy Systems, 2015, 17 : 414 - 422
  • [22] Soft computing and fuzzy logic
    Peizhuang Wang
    Shaohua Tan
    Soft Computing, 1997, 1 (1) : 35 - 41
  • [23] Fuzzy and soft computing digest
    Thuillard, M
    FUZZY SETS AND SYSTEMS, 2000, 110 (02) : 307 - 307
  • [24] Fuzzy decisions in soft computing
    Peneva, V
    Popchev, I
    2004 2ND INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, 2004, : 606 - 609
  • [25] The genetic design of hybrid fuzzy controllers
    Oh, SK
    Lee, DK
    Pedrycz, W
    Kim, DH
    CYBERNETICS AND SYSTEMS, 2004, 35 (04) : 333 - 361
  • [26] IT2-Based Fuzzy Hybrid Decision Making Approach to Soft Computing
    Dincer, Hasan
    Yuksel, Serhat
    IEEE ACCESS, 2019, 7 : 15932 - 15944
  • [27] Design of a soft computing hybrid model classifier for data mining applications
    Sumathi, S
    Sivanandam, SN
    Ravindran, R
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 2001, 9 (01): : 33 - 56
  • [28] Design of a soft computing hybrid model classifier for data mining applications
    2001, CRL Publishing (09):
  • [29] Intelligent soft-computing paradigms for humanoid robots
    Katic, D
    Vukobratovic, M
    2002 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-3, PROCEEDINGS, 2002, : 2533 - 2538
  • [30] Soft computing paradigms for web access pattern analysis
    Wang, XZ
    Abraham, A
    Smith, KA
    CLASSIFICATION AND CLUSTERING FOR KNOWLEDGE DISCOVERY, 2005, 4 : 233 - 250
12345