TY - CHAP
T1 - Hierarchical modeling and control of re-entrant semiconductor manufacturing facilities
AU - El Adl, Mohamed K.
AU - Rodriguez, Armando
AU - Tsakalis, Konstantinos
PY - 1996/12/1
Y1 - 1996/12/1
N2 - This paper addresses hierarchical modeling and control issues within a modern semiconductor fabrication facility. It is well known that fabs are appropriately modeled via discrete event systems. Such models, however, are difficult to analyze and even more difficult to use for design purposes. In this paper a new method for modeling the fab is presented. The method leads to models which approximate the fab over small time scales. These models provide synchronous discrete-time approximations which may be useful for analysis and control design. They also provide a natural tool for systematically addressing aggregation/de-aggregation issues. It is also shown how the fab can be approximated by a high-level flow model. Such model is useful for making high-level long term decisions, determining realistic commands for low-level tracking policies, and for assessing achievable performance. A low-level tracking policy is presented and integrated with a high-level state variable feedback policy. The low-level tracking policy is shown to track low-frequency commands generated by the high-level controller.
AB - This paper addresses hierarchical modeling and control issues within a modern semiconductor fabrication facility. It is well known that fabs are appropriately modeled via discrete event systems. Such models, however, are difficult to analyze and even more difficult to use for design purposes. In this paper a new method for modeling the fab is presented. The method leads to models which approximate the fab over small time scales. These models provide synchronous discrete-time approximations which may be useful for analysis and control design. They also provide a natural tool for systematically addressing aggregation/de-aggregation issues. It is also shown how the fab can be approximated by a high-level flow model. Such model is useful for making high-level long term decisions, determining realistic commands for low-level tracking policies, and for assessing achievable performance. A low-level tracking policy is presented and integrated with a high-level state variable feedback policy. The low-level tracking policy is shown to track low-frequency commands generated by the high-level controller.
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M3 - Chapter
AN - SCOPUS:0030415771
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1736
EP - 1742
BT - Proceedings of the IEEE Conference on Decision and Control
A2 - Anon, null
T2 - Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
Y2 - 11 December 1996 through 13 December 1996
ER -