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

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.<>