A new fuzzy-fractal-genetic method for automated mathematical modelling and simulation of robotic dynamic systems

Author

Castillo, Oscar ; Melin, Patricia

Author_Institution

Dept. of Comput. Sci., Inst. Technol. de Tijuana, Chula Vista, CA, USA

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1182

Abstract

We describe a computer program for mathematical modelling and simulation (MMS) of robotic dynamic systems (RDS) using fuzzy logic techniques, genetic algorithms and fractal theory. The computer program combines soft computing (SC) techniques with mathematical methods and can be considered as an intelligent system for the domain of modelling and simulation of robotic systems. The computer program simulates the reasoning of a human expert in the process of developing the mathematical models of RDS. The program contains the knowledge of the human experts expressed as fuzzy rules (in the knowledge base) for MMS of RDS. The computer program uses efficiently the SC techniques and fractal theory for MMS of RDS

Keywords

control system analysis computing; digital simulation; fractals; fuzzy logic; genetic algorithms; knowledge based systems; robot dynamics; fractal theory; fuzzy logic; genetic algorithms; human reasoning; knowledge based system; mathematical modelling; robotic dynamic systems; simulation; soft computing; Computational modeling; Computer simulation; Fractals; Fuzzy logic; Genetic algorithms; Humans; Intelligent robots; Intelligent systems; Mathematical model; Robotics and automation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.686286

Filename

686286