A Matrix Vector Transition Net Implementation | Chapter 01 | Advances in Mathematics and Computer Science Vol. 1
Aims: Classic Petri nets also known as place transition nets provide many interesting and useful features for system modeling. They are however limited by the place types that are used. A novel approach is presented in this work. A matrix vector transition net model is created and is used to model complex system behavior. This solution extends the modeling power of normal Petri nets.
Proposed Solution: A traditional Petri net is modified to create a matrix vector transition net (MVTN). The idea is to combine the ideas from normal Petri net semantics with a matrix vector approach.
Implementing the Matrix Vector Transition Net: Ordinary Petri net places are replaced with matrices or vectors. The input and output arcs must have a specific function matrix that determines firing. Firing and behavior remain conceptually and functionally similar to that of a Petri net. It is possible to interchange row and column vectors. The behavior of matrix transition nets must elicit similar behavior to that of a place transition net. Instead of normal tokens, matrix elements are used. The matrix vector type of structure increases the modeling power, abstraction capacity and the complexity of the net.
Case Study: To illustrate this work a toy case of an abstract network structure containing processing elements is used to illustrate the use of the matrix vector transition net structure.
Results and Findings: The behavior of matrix transition nets is shown to be similar in principle to that of a place transition net. However instead of tokens, matrix elements are used. It is possible to construct a symbolic marking graph or reachability graph for the system This type of structure definitely increases the modeling power, abstraction capacity and the complexity of the net. The matrix transition net could be useful for certain types of communication system problems and complex system interfacing. Several other uses can be found for this approach in both computing and modeling.
Tony Spiteri Staines
Department of Computer Information Systems, University of Malta, MSIDA MSD 2080, Malta.
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