| ID | 30079 |
| FullText URL | |
| Author |
Noda, Takashi
Konishi, Tadataka
Baba, Mitsuru
Katai, Osamu
|
| Abstract | Recently, many researchers have studied the techniques in applying a fuzzy classifier system (FCS) to control mobile robots, since the FCS can easily treat continuous inputs, such as sensors and images by using a fuzzy number. By using the FCS, however, only reflective rules are acquired. Thus, in the proposed approach, an additional genetic algorithm is incorporated in order to search for strategic knowledge, i.e., the sequence of effective activated rules in the FCS. Therefore, the proposed method consists of two modules: an ordinal FCS and the genetic algorithm. Computational experiments based on WEBOTS, one of the Khepera robot simulators, confirm the effectiveness of the proposed method |
| Keywords | fuzzy control
genetic algorithms
knowledge based systems
mobile robots
pattern classification
search problems
|
| Note | Digital Object Identifier: 10.1109/NAFIPS.2001.944449
Published with permission from the copyright holder. This is the institute's copy, as published in IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th, 25-28 July 2001, Vol. 4, Pages 2405-2410. Publisher URL:http://dx.doi.org/10.1109/NAFIPS.2001.944449 Copyright © 2001 IEEE. All rights reserved. |
| Published Date | 2001-7
|
| Publication Title |
IFSA World Congress and 20th NAFIPS International Conference
|
| Volume | volume4
|
| Start Page | 2405
|
| End Page | 2410
|
| Content Type |
Journal Article
|
| language |
English
|
| Refereed |
True
|
| DOI | |
| Submission Path | industrial_engineering/36
|
