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A '''segment''' of a system variable 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 96km per hour for speed). Mathematically, a segment is a function mapping from a set of times which can be defined by an 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). ▼
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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
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 the concerning systems is denoted by <math> \mathbb{T} </math>, and defined
as the set of non-negative real numbers.
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=== Timed event ===
A ''timed event'' is a pair <math> (t,z) </math> where <math>t \in \mathbb{T}</math> and <math> z \in Z </math> denotes that an event <math> z \in Z</math> occurs at time <math> t \in \mathbb{T}</math>.
=== Null segment ===
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t_4]</math>, and implies <math>t_2 = t_3</math>.
===
<math>(t_1,z_1)(t_2,z_2) \cdots (t_n,z_n)</math> over an event set <math> Z </math> and a time interval <math>[t_l, t_u] \subset \mathbb{T} </math> is concatenation of [[Event Segment#Unit event segment|unit event segments]] <math>\epsilon_{[t_l,t_1]},(t_1,z_1), \epsilon_{[t_1,t_2]},(t_2,z_2),\ldots, (t_n,z_n),</math> and <math>\epsilon_{[t_n,t_u]}</math> where
<math>t_l\le t_1 \le t_2 \le \cdots \le t_{n-1} \le t_n \le t_u</math>.
Mathematically,
== Timed language ==
The ''universal timed language'' <math>\Omega_{Z,[t_l, t_u]}</math> over an event set <math>Z</math> and a time interval <math>[t_l, t_u] \subset \mathbb{T}</math>, is the set of all event trajectories over <math>Z</math> and <math>[t_l,t_u]</math>.
A ''timed language'' <math>L</math> over an event set <math>Z</math> and a timed interval
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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.
* [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
[[Category:Automata
[[Category:Formal specification languages]]
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