By Geert Stremersch (auth.)
Supervision of Petri Nets offers supervisory regulate conception for Petri nets with a criminal set because the regulate aim. Petri nets version discrete occasion platforms - dynamic platforms whose evolution is totally decided by means of the prevalence of discrete occasions. keep watch over legislation, which be sure that the method meets a suite of necessities within the presence of uncontrollable and unobservable occasions, are studied and built, utilizing program parts resembling computerized production and transportation platforms.
Supervision of Petri Nets introduces a brand new and mathematically sound method of the topic. current effects are unified through featuring a basic mathematical language that makes large use of order theoretical principles, and diverse new effects are defined, together with ready-to-use algorithms that build supervisory keep watch over legislation for Petri nets.
Supervision of Petri Nets is a superb reference for researchers, and should even be used as a supplementary textual content for complicated classes on regulate theory.
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Extra resources for Supervision of Petri Nets
30) as the state m evolves. The above reasoning can be repeated for each m' E Rl,n((m, m). With m' = m+F8 we obtain for the last component of the new extended state m' that m~+l = b- AT m' = b- AT(m + F8) = (b - AT m) - ATF8. rTF] o. 31) Define the vector B+ such that B+,T := B-,T - ATF. 27) that Bt = max(-(ATF)i,O) for i = 1, ... ,m. Hence, B+ E f;F. 4. Closed-loop system of the Petri net model of the railway example together with a maximally permissive supervisor which guarantees that the number of trains within Zone 5 is not greater than one.
On the other hand, p. is the set of transitions t for which the graph contains an arc from p to t. Analogously for ~ and t· with t E T. Note that p E "t t E p. p ¢:} pEt·. 6 the enabling condition m m(p) ~ L f-(P, t)o(t) ~ F- 0 can be written as: (p E P). 11) tEp· This is because f- (p, t) = 0 for all t E P \ p •. With a similar argument the state equation m' = m + Fo can be brought into the form m'(p) = m(p) +L tEap f+(t,p)o(t) - L f-(P, t)o(t) (p E P). tEp· Both of these alternative formulations are useful.
17) are proven by induction. Suppose that (61, ... e. 18) we find that m~_i(p) - mi-i(p) = m~(p) - mo(p) So, with m'I"T' ~ and m' = m~) for p E -r'. ml"T" we have for p E rr' that (recall that m = mo L m~_i(p) ~ mi-i(P) ~ j-(p,t)6i(t). 11 that Oi E ~mi' 9. ~mi-1' Consequently, we obtain 0 Other concurrency assumptions So far we have used the transition bag assumption. The collections of events which can occur simultaneously can contain any number of events any number of times. 2). In many applications the transition bag assumption is not realistic.