Adaptive Scheduling and Control Using Artificial Neural Networks and Expert Systems for a Hierarchical / Distributed Fms Architecture

نویسندگان

  • Luis Carlos Rabelo
  • Sema Alptekin
چکیده

tcrm iri the tasks to-he s01w.l in order to select the best scfichliiig riilc according to d@rent criteria. The e p e r t sJ’.c’ttvtis, on the other hand. drive the inference strategv and iritcvpsct the constraitits cind restrictions ittiposed by the irppcr 1cvcl.q .J‘ the control hierarchy of the fTexible manujiwtiwitig sJ*stctn. The level oj‘ sclj-organizatiori achieved pForicli*r t i s!~stctn with a higlier probnbility of sirccess than tr~trtlitiorrtil ap~~roccc~lrcs.

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تاریخ انتشار 2004