Publication detail

Control and Navigation with Knowledge Bases

ŠEDA, M. BŘEZINA, T.

Original Title

Control and Navigation with Knowledge Bases

Type

journal article - other

Language

English

Original Abstract

In this paper, we focus on the use of knowledge bases in two different application areas – control of systems with unknown or strongly nonlinear models (i.e. hardly controllable by the classical methods), and robot motion planning in eight directions. The first one deals with fuzzy logic and the paper presents approaches for setting and aggregating the rules of a knowledge base. The second one is concentrated on a case-based reasoning strategy for finding the path in a planar scene with obstacles.

Keywords

fuzzy controller, fuzzification, rule base, inference, defuzzification, genetic algorithm, neural network, case-based reasoning

Authors

ŠEDA, M.; BŘEZINA, T.

RIV year

2011

Released

1. 12. 2011

Publisher

WASET

Location

Thailand

ISBN

2010-376X

Periodical

World Academy of Science, Engineering and Technology

Year of study

2011

Number

60

State

Republic of Indonesia

Pages from

265

Pages to

272

Pages count

8

BibTex

@article{BUT88577,
  author="Miloš {Šeda} and Tomáš {Březina}",
  title="Control and Navigation with Knowledge Bases",
  journal="World Academy of Science, Engineering and Technology",
  year="2011",
  volume="2011",
  number="60",
  pages="265--272",
  issn="2010-376X"
}