ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 190
... defined as follows : μ ( a ) = 0 / Ø + 0 / P + 0 / Q + 0 / R + 1 / F + 0 / J + 0 / 0 , and a2 on the UD A2 is defined as follows : [ 0 1≤x < 4 μ ( a22 ) = { 1 x = 4 where x Є N 0 x > 4 The comparison of SMs , as with most decision ...
... defined as follows : μ ( a ) = 0 / Ø + 0 / P + 0 / Q + 0 / R + 1 / F + 0 / J + 0 / 0 , and a2 on the UD A2 is defined as follows : [ 0 1≤x < 4 μ ( a22 ) = { 1 x = 4 where x Є N 0 x > 4 The comparison of SMs , as with most decision ...
Page 259
... defined as follows : Definition 2.5 A subset of places S in a Petri net is called a siphon if S S • , i.e. , any ... defined in a constructive manner . Fist , a process component is defined . operation requirements , a process ...
... defined as follows : Definition 2.5 A subset of places S in a Petri net is called a siphon if S S • , i.e. , any ... defined in a constructive manner . Fist , a process component is defined . operation requirements , a process ...
Page 264
... defined and denoted by 8 ( a , X ) !, if A. SYSTEMS Predicates as basis structure The state of a VDES [ 1 ] [ 4 ] [ 9 ] is coordinitized by state vari- ables x1 , x2 , ... , în ranging over the integers Z. The state space is the set of ...
... defined and denoted by 8 ( a , X ) !, if A. SYSTEMS Predicates as basis structure The state of a VDES [ 1 ] [ 4 ] [ 9 ] is coordinitized by state vari- ables x1 , x2 , ... , în ranging over the integers Z. The state space is the set of ...
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