A parameterized Petri net model for the organization level of intelligent robotic systems

Author

Gracanin, Denis ; Valavanis, Kimon P. ; Srinivasan, Padmini

Author_Institution

Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA

fYear

1994

fDate

7-9 Mar 1994

Firstpage

39

Lastpage

46

Abstract

Parameterized Petri nets (PPNs), the fundamentals of which have been defined in Gracanin, Srinivasan, and Valavanis (1994), are utilized to derive the organization level model and algorithm of an intelligent robotic system (IRS). All organizer functions are interpreted via PPNs. Comparison of the PPN based model and algorithm with the ones previously derived Valavanis and Carelo (1990) and Valavanis (1992) demonstrates the PPN power as a modeling tool, as well as the PPN ability to accommodate additional system functions in terms of “parameter” values

Keywords

Petri nets; intelligent control; knowledge based systems; robots; intelligent robotic systems; organization level; organizer functions; parameterized Petri net model; Feedback; Hardware; Intelligent robots; Intelligent systems; Laboratories; Mathematical model; Performance analysis; Petri nets; Power system modeling; Robot kinematics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on

Conference_Location

Tucson, AZ

Print_ISBN

0-7803-1800-5

Type

conf

DOI

10.1109/CACSD.1994.288951

Filename

288951