EMM-networking model for FMS modeling, simulation and control

N. Duan, S. R.T. Kumara, D. J. Medeiros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The major challenge of implementing FMS (flexible manufacturing systems) at the factory level is to realize automated control. An appropriate FMS model is required for the purpose of control software design and implementation. In this paper, the EMM-networking (extended Moore machine) model based on automata theory for FMS control systems is presented. The basic concept behind the EMM-networking model is to identify the structure of complex systems in a hierarchy of abstractions. By using object-oriented methodology, the EMM-networking model of a FMS can be implemented into object-based software modules, based on which an integrated environment for simulation, software construction and real-time control can be realized. The methodology is demonstrated via the simulation of a prototype FMS.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems
Subtitle of host publicationIntegrating Qualitative and Quantitative System Knowledge, AIHAS 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-262
Number of pages10
ISBN (Electronic)0818621621, 9780818621628
DOIs
StatePublished - Jan 1 1991
Event2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems: Integrating Qualitative and Quantitative System Knowledge, AIHAS 1991 - Cocoa Beach, United States
Duration: Apr 1 1991Apr 2 1991

Publication series

NameProceedings of the 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems: Integrating Qualitative and Quantitative System Knowledge, AIHAS 1991

Conference

Conference2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems: Integrating Qualitative and Quantitative System Knowledge, AIHAS 1991
Country/TerritoryUnited States
CityCocoa Beach
Period4/1/914/2/91

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'EMM-networking model for FMS modeling, simulation and control'. Together they form a unique fingerprint.

Cite this