ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 334
marking M is given by M ( p ) = Mo ( pi ) + O ( pi , tj ) -I ( p1 , tj ) . The set of all reachable markings from the initial marking Mo is represented by R ( Mo ) . The incidence matrix C of a PN is an mxn matrix of integers defined as ...
marking M is given by M ( p ) = Mo ( pi ) + O ( pi , tj ) -I ( p1 , tj ) . The set of all reachable markings from the initial marking Mo is represented by R ( Mo ) . The incidence matrix C of a PN is an mxn matrix of integers defined as ...
Page 342
... marking , transition t is firable in the current marking , and transition t fires in the current marking , respectively . Symbols , + , • , and represent the Boolean connectives . The formula of , " next " , means that f becomes true in ...
... marking , transition t is firable in the current marking , and transition t fires in the current marking , respectively . Symbols , + , • , and represent the Boolean connectives . The formula of , " next " , means that f becomes true in ...
Page 493
memory cycle [ clock ] 1 2 3 6 7 8 9 10 Marking Uni Search Unit Fire Unid SU SU SU SU SU Controlled Objects Marking Reg . Marking Search Reg . In / Out Tables Unmask Tran- sition Table FU FU FU FU Enable Trans . Reg . work rega fire ...
memory cycle [ clock ] 1 2 3 6 7 8 9 10 Marking Uni Search Unit Fire Unid SU SU SU SU SU Controlled Objects Marking Reg . Marking Search Reg . In / Out Tables Unmask Tran- sition Table FU FU FU FU Enable Trans . Reg . work rega fire ...
Contents
Innovations in Design and Integrated | 1 |
Creative and Innovative Manufacturing | 4 |
Y Fan and C Wu Tsinghua Univ | 7 |
Copyright | |
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according activities algorithm allows analysis application approach architecture assembly ATRT Automation called communication complete components considered constraints control system cost customers decision defined described determined dispatching distributed dynamic effective Engineering enterprise environment error estimated example exists Figure fixture flexible flow function given implementation important improvement industrial input integration interaction interface INTRODUCTION knowledge lead learning load locating machine manuals manufacturing means measurements method nets object obtained operation optimal output parameters performance Petri planning plant position possible presented problem proposed prototype real-time reference represents requirements robot rules scheduling selected sequence server shown shows simulation solution specific standard station structure task token tool transition unit University virtual