DocumentCode :
3322341
Title :
Time windows: an approach to automated abstraction of continuous-time models into discrete-event models
Author :
Wang, Qingsu ; Cellier, Francois E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear :
1990
fDate :
26-27 Mar 1990
Firstpage :
204
Lastpage :
211
Abstract :
The automated generation of time windows from continuous system simulation models is described. Time windows can be used to automatically generate equivalent discrete-event models at a coarser granularity level and they are also instrumental to the design of event-based control systems. The generation of time windows represents one facility in the knowledge-based multifaceted modeling and simulation environment DEVS/Scheme. In this environment, continuous-time and discrete-event models can coexist, and they can be amalgamated with AI techniques. The usefulness of these concepts is demonstrated by means of a model of a robot controlled fluid handling laboratory for space station Freedom to be used for research in life sciences, microgravity sciences and space medicine
Keywords :
control engineering computing; digital simulation; knowledge based systems; natural sciences computing; robots; AI techniques; automated abstraction; automated generation; continuous system simulation models; continuous-time models; discrete-event models; equivalent discrete-event models; event-based control systems; granularity level; knowledge-based multifaceted modeling; life sciences; microgravity sciences; robot controlled fluid handling laboratory; simulation environment DEVS/Scheme; space medicine; space station Freedom; time windows; Artificial intelligence; Automatic generation control; Continuous time systems; Control system synthesis; Instruments; Laboratories; Medical robotics; Orbital robotics; Robot control; Space stations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AI, Simulation and Planning in High Autonomy Systems, 1990., Proceedings.
Conference_Location :
Tucson, AZ
Print_ISBN :
0-8186-2043-9
Type :
conf
DOI :
10.1109/AIHAS.1990.93936
Filename :
93936
Link To Document :
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