Soft computing paradigms for hybrid fuzzy controllers: experiments and applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Akbarzadeh:1998:wcci,
  author =       "M. R. Akbarzadeh-T. and E. Tunstel and K. Kumbla and 
                 M. Jamshidi",
  title =        "Soft computing paradigms for hybrid fuzzy controllers:
                 experiments and applications",
  booktitle =    "Proceedings of the 1998 IEEE World Congress on
                 Computational Intelligence",
  year =         "1998",
  pages =        "1200--1205",
  volume =       "2",
  address =      "Anchorage, Alaska, USA",
  month =        "5-9 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming,
                 neurocontrollers, fuzzy control, hierarchical systems,
                 mobile robots, path planning, brushless DC motors,
                 machine control, manipulators, soft computing
                 paradigms, hybrid fuzzy controllers, neural networks,
                 genetic algorithms, genetic programs, fuzzy logic-based
                 schemes, added intelligence, adaptation, learning
                 ability, direct drive motor, genetic algorithm-fuzzy
                 hierarchical controller, flexible robot link, genetic
                 programming-fuzzy behavior-based controller, mobile
                 robot navigation task",
  ISBN =         "0-7803-4863-X",
  URL =          "http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/fieee98.pdf",
  URL =          "http://ieeexplore.ieee.org/iel4/5612/15018/00686289.pdf?isNumber=15018",
  DOI =          "doi:10.1109/FUZZY.1998.686289",
  size =         "6 pages",
  abstract =     "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 the 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.",
  notes =        "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
                 World Congress on Computational Intelligence",
}

Genetic Programming entries for Mohammad-R Akbarzadeh-Totonchi Edward W Tunstel K Kumbla Mohammad Jamshidi

Citations