DocumentCode :
1836234
Title :
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
Link To Document :
بازگشت