Loading in 5 sec....

SE-561 Math Foundations Petri Nets - I IPowerPoint Presentation

SE-561 Math Foundations Petri Nets - I I

- By
**paul2** - Follow User

- 236 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about 'se-561 math foundations petri nets - ii' - paul2

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

### SE-561Math FoundationsPetri Nets - II

Dr. Jiacun Wang

Department of Software Engineering

Monmouth University

Jiacun Wang

Review: Petri Nets

A Petri net N is a tuple N = {P, T, I, O, M0}, where

- P is a finite set of places, graphically represented by circles
- T is a finite set of transitions, graphically represented by boxes
- Places P and transitions T are disjoint (P ∩T = f),
- I: P × T N (N = {0, 1, 2, …}) is the pre-incidence function representing input arcs,
- O: T × P N (N = {0, 1, 2, …}) is the post-incidence function representing output arcs,
- M0 : P N is the initial marking representing the initial distribution of tokens.

Jiacun Wang

p1

p2

t2

t3

Review: Transition Firing- A transition t is enabled at marking Mi if and only if
Mi≥ I(t)

- Let E(Mi) be the set of all transitions enabled at Mi. Then t E(Mi).

- Suppose that the firing of t takes the Petri net from Mi to Mj. Then
Mj= Mi-I(t) + O(t)

Denoted by Mi[t>Mj

- Example

P = {p1, p2}

T = {t1, t2, t3}

I(t1) = (1, 1), I(t2) = (2, 0), I(t3) = (0, 2)

O(t1) = (1, 0), O(t2) = (0, 1), O(t3) = (0, 1)

M0 = (2, 1)

E(M0) = {t1, t2}

M0[t1> M1 where M1= (3, 1)

Jiacun Wang

High-Level Petri Nets: Motivation

- Up to now, we allowed places to be occupied by only “black” tokens.
- Traffic light example: Three lights, one color per light, one place for every light.
- Suppose we have one light that can be either red or green.
- Two attempts at modeling this situation:

Jiacun Wang

High-Level Petri Nets: Motivation (cont.)

- If we had not just black tokens, but colored ones (e.g. red, green), we could construct a more natural model:
- More generally, we could allow arbitrary values as tokens, e.g. to model numeric variables:

green token

red token

1

5

Jiacun Wang

High-Level Petri Nets: Places

- A general solution is to assign a type to every place, i.e. a set of token values that are permitted on the place:
- In general, a place may contain a multiset of its type.

Jiacun Wang

High-Level Petri Nets: Transitions

- In meaningful models, we need transitions to reason about the values of tokens:
Switching the traffic light:

Increasing variable:

Jiacun Wang

High-Level Petri Nets: Transitions (cont.)

- Suppose we have two processes competing for a common resource. If both try to access the resource simultaneously, there is a ‘referee’ who decides which process should have priority over the other:

Jiacun Wang

High-Level Petri Nets: Definition

- A high-level Petri net (HL-net) is a tuple N = (P, T, I, O, V, S, C, M0), where
- P, T, I, O are as usual;
- V is a set of token values;
- S: P 2Vis a type assignment for places;
- C(t) is the firing condition of transition t (see next slide).
- M0 : P × V N is the initial marking.

Jiacun Wang

Transition Firing Conditions

- A firing condition decides which tokens may flow out of the pre-places and into the post-places of a transition.
- Formally, if we let t be the sum of the arc weights leading into and out of t, then the signature of Ct is Ct : Vt ! {false, true}.
- In figures, we place variable names onto the arcs and equip transitions with boolean expressions over these variables, like this:

Jiacun Wang

Transition Firing Conditions (cont.)

- If a particular assignment of token values to variables evaluates to true, then the transition may fire under that assignment.
- Firing under some assignment is possible if for every pre-place p, p contains the token values assigned to the variables that are on the arc from p to t.
- Firing removes those tokens and puts corresponding tokens on the post-places.
- The assignment must respect the types; e.g. if v is the variable on the arc from place p to transition t, then v must be assigned to some value from S(p).

Jiacun Wang

Example 1

- For instance, in the following example, the transition could fire under the assignments
(‘x = 1, x’ = 2), (‘x = 2, x’ = 3), (‘x = 3, x’ = 4), (‘x = 4, x’ = 5).

- In the given marking, we can remove the 2 token and replace it by a 3 token.

Jiacun Wang

Example 2

- In the common-resource example, suppose the prioritised process is changed after every access:

Jiacun Wang

From High-Level Petri Nets to Ordinary Petri Nets: Places

- High-level nets allow easier modeling, but they are equally expressive, provided that the set of token values is finite.
- For each high-level place p, create an ordinary place pvfor each v S(p).
- If M0(p, v) = k, then put k initial tokens on the ordinary place pv.

Jiacun Wang

From High-Level Petri Nets to Ordinary Petri Nets: Transitions

- For each high-level transition t, create an ordinary transition tafor each assignment under which t may fire.
- If (p, t) is a high-level arc with variable x, connect pvto tain the ordinary net, where v is the value of x in a.
- Arcs from transitions to places are treated analogously.

Jiacun Wang

Final Exam Transitions

- Open book, open slides, open …
- No laptop
- Set theory: Venn diagram
- Functions: 1-to-1, onto.
- Graph theory: Graph matrix, Euler paths/circuits, Hamilton paths/circuits
- Petri nets: Given a Petri net, write its formal definition and list all reachable markings.
- Petri nets: Petri net modeling according to specification

Jiacun Wang

Download Presentation

Connecting to Server..