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{{Short description|Computational modeling concept}}
A '''segment''' of a system variable in [[computing]] shows a homogenous status of [[system dynamics]] over a time period. Here, a homogenous status of a variable is a state which can be described by a set of coefficients of a formula. For example, of homogenous statuses, we can bring status of constant ('ON' of a switch) and linear (60 miles or 96 km per hour for speed). Mathematically, a segment is a function mapping from a set of times which can be defined by a real interval, to the set <math>Z</math> [[Event_Segment#References|[Zeigler76]]], [[Event_Segment#References|[ZPK00]]], [[Event_Segment#References|[Hwang13]]]. A '''trajectory''' of a system variable is a sequence of segments concatenated. We call a trajectory constant (respectively linear) if its concatenating segments are constant (respectively linear).
An '''event segment''' is a special class of the constant segment with a constraint in which the constant segment is either one of a timed event or a null-segment. The event segments are used to define [[Timed Event System]]s such as [[DEVS]], [[timed automaton|timed automata]], and [[timed petri nets]].
== Event Segments ==▼
=== Time Base ===▼
The ''time base'' of our concerning systems is denoted by <math> \mathbb{T} </math>, and defined ▼
<center><math> \mathbb{T}=[0,\infty) </math> </center>▼
▲The ''time base'' of
as the set of non-negative real numbers.
===
===
===
The ''null segment'' over time interval <math> [t_l, t_u] \subset \mathbb{T} </math> is denoted by <math> \epsilon_{[t_l, t_u]}</math> which means nothing in <math>Z</math> occurs over <math> [t_l, t_u] </math>.
===
=== Concatenation ===
Given an event set <math>Z</math>, ''concatenation'' of two [[Event Segment#Unit event segment|unit event segments]] <math>\omega</math> over <math>[t_1, t_2]</math> and <math>\omega'</math> over <math>[t_3,
t_4]</math> is denoted by <math>\omega\omega'</math> whose time interval is <math>[t_1,
t_4]</math>, and implies <math>t_2 = t_3</math>.
===
<math>(
<math>t_l\le t_1 \le t_2 \le \cdots \le t_{n-1} \le t_n \le t_u</math>.
Mathematically, an event trajectory is a mapping <math>\omega</math> a time period <math>[t_l,t_u] \subseteq \mathbb{T} </math> to an event set <math>Z</math>. So we can write it in a function form :
== Timed Language ==▼
The ''universal timed language'' over an event set <math>Z</math> and a time interval <math>[t_l, t_u] \subseteq \mathbb{T}</math>, is denoted by▼
{{center|1=<math> \omega:[t_l,t_u] \rightarrow Z^* .</math>}}
The ''universal timed language'' <math>\Omega_{Z,[t_l, t_u]}</math>
t_u]</math>. If <math>L</math> is a language over <math>Z</math> and <math>[t_l, t_u]</math>, then <math>L▼
▲
▲
t_u]</math> if <math>L
\subseteq \Omega_{Z, [t_l, t_u]}</math>.
== See also ==
* [[Outline of computing]]
== References ==
* [Zeigler76] {{cite book|author = Bernard Zeigler | year = 1976| title = Theory of Modeling and Simulation| publisher = Wiley Interscience, New York
* [ZKP00] {{cite book|
* [Giambiasi01] Giambiasi N., Escude B. Ghosh S. “Generalized Discrete Event Simulation of Dynamic Systems”, in: Issue 4 of SCS Transactions: Recent Advances in DEVS Methodology-part II, Vol. 18, pp. 216–229, dec 2001
* [Hwang13] M.H. Hwang, ``Revisit of system variable trajectories``, ''Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative M&S Symposium '', San Diego, CA, USA, April 7–10, 2013
[[Category:Automata
[[Category:Formal specification languages]]
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