## Proceedings: 1996 IEEE Conference on Emerging Technologies and Factory Automation, ETFA '96, Kauai, Hawaii, November 18-21, 1996 |

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Page 327

The sparse Volterra filter contains only the cross - products of

contribute significantly to the system output . Based on the Genetic Algorithm , a

scheme is proposed in this paper to automatically estimate the significant terms ...

The sparse Volterra filter contains only the cross - products of

**input**signals whichcontribute significantly to the system output . Based on the Genetic Algorithm , a

scheme is proposed in this paper to automatically estimate the significant terms ...

Page 342

is the set of places p T is the set of transitions t is the incidence matrix mo is the

initial marking V is the

is the event signal matrix . The

is the set of places p T is the set of transitions t is the incidence matrix mo is the

initial marking V is the

**input**/ output structure CN is the condition signal matrix ENis the event signal matrix . The

**input**/ output structure v is described als follows ...Page 344

Hence , we try to find transitions which an

determine the set can be forced to fire and which lead from a marking where of

to ...

Hence , we try to find transitions which an

**input**. Therefore it is of interest todetermine the set can be forced to fire and which lead from a marking where of

**inputs**which can be used to force state transitions . uncontrolled transitions leadto ...

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### Contents

PLENARY SESSION I | 1 |

PLENARY SESSION II | 7 |

SESSION TU4AScheduling | 16 |

Copyright | |

44 other sections not shown

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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 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 simple simulation solution solve space specific stage station step structure Table task technique tion transition vector