Advertisement
Journal Home
Search for

Volume 10, Issue 3, Pages 172-181 (June 2005)


View previous. 11 of 14 View next.

Modeling, Analysis, Simulation and Control of Laboratory Automation Systems Using Petri Nets: Part 1. Modeling

Mark F. Russo1Corresponding Author Informationemail address, Alan Sasso2

A move from fixed, statically scheduled laboratory automation systems to more dynamic and adaptive behavior introduces complexities and challenges that have not been thoroughly explored in the field of laboratory automation. Powerful tools are required for the systematic modeling, analysis, simulation, and control of such systems. In this first part of a tutorial series, we introduce and explore Petri nets as a tool that can be used to model dynamically controlled laboratory automation systems. Subsequent contributions to this series will look at formal mathematical techniques for analyzing Petri net models, and methods for simulating and controlling laboratory automation systems using Petri nets.

1 Bristol-Myers Squibb, Pharmaceutical Research Institute, Princeton, NJ

2 Department of Chemical and Biochemical Engineering, College of Engineering, Rutgers University, Piscataway, NJ

Corresponding Author InformationCorrespondence: Mark F. Russo, Ph.D., Bristol-Myers Squibb, Pharmaceutical Research Institute, P.O. Box 4000, MS L13-02, Princeton, NJ 08543; Phone: +1.609.252.6230

PII: S1535-5535(05)00121-8

doi:10.1016/j.jala.2005.04.005


View previous. 11 of 14 View next.