ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 36
... phase is the evolution and refinement of the model of the previous phase . As to the names of the models they are introduced to reflect the functional role of the model in a given phase . Fig . 4 shows the correspondence of phases and ...
... phase is the evolution and refinement of the model of the previous phase . As to the names of the models they are introduced to reflect the functional role of the model in a given phase . Fig . 4 shows the correspondence of phases and ...
Page 129
... phase is finished , the DCS allows for the execution of the asynchronous phase as described in the protocol . The DCS is supposed to assume the mastership of the link , thus , it will be the LAS - DLE . Assumptions A1 . A slow speed ...
... phase is finished , the DCS allows for the execution of the asynchronous phase as described in the protocol . The DCS is supposed to assume the mastership of the link , thus , it will be the LAS - DLE . Assumptions A1 . A slow speed ...
Page 535
... phases as shown in Fig . 8 . A. Control Phase Control Phase Controlled Object Verifying Phase Model Phase Results of Verification Fig . 8 The schema of verification It is obvious that an SFC of one - by - one class is included in the ...
... phases as shown in Fig . 8 . A. Control Phase Control Phase Controlled Object Verifying Phase Model Phase Results of Verification Fig . 8 The schema of verification It is obvious that an SFC of one - by - one class is included in the ...
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