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SoD: A Normative Theory for the Design of Discrete Event Dynamic Systems for Supervisory Control

SoD: A Normative Theory for the Design of Discrete Event Dynamic Systems for Supervisory Control
SoD:用于监督控制的离散事件动态系统设计的规范理论
批准号:
0437415
负责人:
Ramavarapu Sreenivas
金额:
$36.51万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-04-01 至 2010-03-31

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中文摘要
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英文摘要
This project addresses a problem domain related to the design of Discrete Event Dynamic Systems (DEDS). The goal of the project is to identify tractable synthesis of supervisory policies that control those systems. Examples of DEDS include: air-traffic control systems; automated manufacturing systems; computer networks; integrated command, control, communication and information (C3I ) systems; operations-management of multi-component organizations with event-driven dynamics like shipyards, airports, hospitals, etc. Despite the myriad and diverse applications for DEDS, advances in core aspects of supervisory control of DEDS have not found application beyond academia, primarily due to the fact that synthesis procedures require complete specification of the desired behavior of the system, a difficult, if not impossible task. Even when complete specifications are available, the synthesis of the appropriate supervisory policy can be intractable. This project develops a normative theory of how DEDS should be structured so that, starting from a supervisory policy that enforces an incompletely specified behavior, progressive supervisory corrections can be applied such that the (complete) desired specification is eventually enforced.The supervisory policy advocated by this project is based on analysis of observed "desirable" and "undesirable" states of a system. This project focuses on three areas of DEDS: (1) Learning phase: the development of learning algorithms for supervisory systems where desired behavior can be easily earned/identified using examples/counter-examples, (2) Supervisory policy synthesis phase: the identification of DEDS structures where learning is tractable, and (3) Progressive improvement phase: the development of methods for improving learned behavior that can be progressively improved with little computational effort as additional information is made available. The successful resolution of the open research topics related to this project may mean that idiosyncratic problems in each of the examples of DEDS described above (air-traffic bottlenecks, dead-lock/live-lock in automated manufacturing, poor quality of service in networks, poor triage services in the emergency room of a hospital, etc.) could be eliminated.
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On Deadlock-Avoidance, Livelock-Avoidance and Performance Improvements in Discrete Event Systems: A Collection of Open Problems
RIA: Modeling, Analysis, Control and Performance Evaluation of Discrete Event Dynamic Systems
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