Proceedings: 1996 IEEE Conference on Emerging Technologies and Factory Automation, ETFA '96, Kauai, Hawaii, November 18-21, 1996 |
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Results 1-3 of 82
Page 357
The structure of the lattice reflects different ways ( i . e . , different orders ) of
refinements which result in the same model . For the nets shown in Fig . 1 and Fig
. 2 , such a hierarchy of models is shown in Fig . 3 ( a , ) where the top element ,
no ...
The structure of the lattice reflects different ways ( i . e . , different orders ) of
refinements which result in the same model . For the nets shown in Fig . 1 and Fig
. 2 , such a hierarchy of models is shown in Fig . 3 ( a , ) where the top element ,
no ...
Page 358
a 20 t ot O nas net shown in Fig . 4 ( e ) using. 0 Oy 2 , B 2 8 p1 . 2 p1 . 1 13 . 1 t3 .
2 p3 . 2 ( b ) Fig . 3 . Hierarchy of place / transition refinements . t01 po2 while tı .
2 and t1 . 3 model the operations performed by the robot : it picks a new part ...
a 20 t ot O nas net shown in Fig . 4 ( e ) using. 0 Oy 2 , B 2 8 p1 . 2 p1 . 1 13 . 1 t3 .
2 p3 . 2 ( b ) Fig . 3 . Hierarchy of place / transition refinements . t01 po2 while tı .
2 and t1 . 3 model the operations performed by the robot : it picks a new part ...
Page 359
net shown in Fig . 4 ( e ) using the subnet shown in Fig . 4 ( f ) . Petri net models of
manufacturing cells with three maA subsequent refinement of the place pui ,
using the sub - chines can be obtained by ( similar ) refinements of twonet shown
in ...
net shown in Fig . 4 ( e ) using the subnet shown in Fig . 4 ( f ) . Petri net models of
manufacturing cells with three maA subsequent refinement of the place pui ,
using the sub - chines can be obtained by ( similar ) refinements of twonet shown
in ...
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Contents
PLENARY SESSION I | 1 |
PLENARY SESSION II | 7 |
SESSION TU4AScheduling | 16 |
Copyright | |
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Common terms and phrases
action activities agent algorithm allows analysis application approach assignment associated Automation behavior called communication complete components Computer connection consider constraints cost deadlines defined depends described determined developed distributed dynamic effective environment error estimation evaluation event example execution field Figure force frequency function given holons human IEEE implementation initial input intelligent learning machine manipulator manufacturing means measure messages method Mimetism motion nodes object obtained operation optimal output parameters performance period Petri phase planning plant position possible presented priority problem proposed real-time reference represented request resource robot rules scheduling scheme selection sensor sequence server shown shows signal simulation solution solve space specific stage station step structure Table task technique tion transition vector