State minimization of SP-DEVS

  • Authors:
  • Moon Ho Hwang;Feng Lin

  • Affiliations:
  • Dept. of Electrical & Computer Engineering, Wayne State University, Detroit, MI;Dept. of Electrical & Computer Engineering, Wayne State University, Detroit, MI

  • Venue:
  • AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

If there exists a minimization method of DEVS in terms of behavioral equivalence, it will be very useful for analysis of huge and complex DEVS models. This paper shows a polynomial-time state minimization method for a class of DEVS, called schedule-preserved DEVS (SP-DEVS) whose states are finite. We define the behavioral equivalence of SP-DEVS and propose two algorithms of compression and clustering operation which are used in the minimization method.