A classic form of state diagram for a finite state machine or finite automaton ( FA ) is a directed graph with the following elements ( Q, ?, Z, ?, q 0, F ):
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The various process states, displayed in a state diagram, with arrows indicating possible transitions between states-as can be seen some processes are stored in main memory ( yellow ), and some are stored in secondary memory ( green ).
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On the other hand, some of the critical issues of the support assembly task are related with the dynamic reconfiguration of the state diagram, which allows to automatically identify the step of assembly and also adapt to unexpected actions or errors of the user.
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While in UML 1 . x, activity diagrams were a specialized form of state diagrams, in UML 2 . x, the activity diagrams were reformalized to be based on Petri net-like semantics, increasing the scope of situations that can be modeled using activity diagrams.
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The state diagram from Figure 2 is an example of an extended state machine, in which the complete condition of the system ( called the extended state ) is the combination of a qualitative aspect the " state " and the quantitative aspects the extended state variables ( such as the down-counter key _ count ).
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There is a wide variety of representations possible and one can express a given Turing machine program as a sequence of machine tables ( see more at finite state machine, state transition table and control table ), as flowcharts and drakon-charts ( see more at state diagram ), or as a form of rudimentary machine code or assembly code called " sets of quadruples " ( see more at Turing machine ).
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