Development of distributed agent-oriented Petri net simulation and control environment for discrete event dynamic systems

2005 ◽  
Author(s):  
Chung-Hsien Kuo
Keyword(s):  
Petri Net ◽  
Dynamic Systems ◽  
Discrete Event ◽  
Discrete Event Dynamic Systems ◽  
Control Environment ◽  
Simulation And Control ◽  
Event Dynamic ◽  
And Control

scholarly journals Modelling and Control of Discrete Event Dynamic Systems

2000 ◽  
Vol 7 (26) ◽  
Author(s):  
Frantisek Capkovic
Keyword(s):  
Petri Nets ◽  
Dynamic Systems ◽  
Discrete Event ◽  
Analytical Models ◽  
Control Synthesis ◽  
Discrete Event Dynamic Systems ◽  
Oriented Graphs ◽  
Knowledge Based ◽  
Event Dynamic ◽  
And Control

Discrete event dynamic systems (DEDS) in general are <br />investigated as to their analytical models most suitable for control<br />purposes and as to the analytical methods of the control synthesis.<br /> The possibility of utilising both the selected kind of Petri nets<br />and the oriented graphs on this way is pointed out. Because many<br />times the control task specifications (like criteria, constraints, <br />special demands, etc.) are given only verbally or in another form of<br />non analytical terms, a suitable knowledge representation about<br />the specifications is needed. Special kinds of Petri nets (logical,<br />fuzzy) are suitable on this way too. Hence, the knowledge-based<br />control synthesis of DEDS can also be examined. The developed<br />graphical tools for model drawing and testing as well as for the<br />automated knowledge-based control synthesis are described and<br />illustratively presented.<br />Two approaches to modelling and control synthesis based on<br />oriented graphs are developed. They are suitable when the <br />system model is described by the special kind of Petri nets - state<br />machines. At the control synthesis the first of them is straightforward<br /> while the second one combines both the straight-lined model<br />dynamics development (starting from the given initial state <br />towards the prescribed terminal one) and the backtracking model<br />dynamics development.

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