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Supervisory Control of Fuzzy Discrete Event Systems Based on Agent
作者姓名:张颖  邵世煌
作者单位:College of Information Eng. Shanghai Maritime Univ.,College of Information Science and Technology Donghua Univ.,Shanghai 200135 China,Shanghai 200051 China
摘    要:Introduction There are many complicated systems in theworld that can not be represented by differentialequations and so on, but they can be describedqualitatively by event sequences that lead to thetransition of the system states indirectly, so itbrings o…


Supervisory Control of Fuzzy Discrete Event Systems Based on Agent
ZHANG Ying,SHAO Shi-huang.Supervisory Control of Fuzzy Discrete Event Systems Based on Agent[J].Journal of Shanghai Jiaotong university,2006,11(4).
Authors:ZHANG Ying  SHAO Shi-huang
Institution:1. College of Information Eng.,Shanghai Maritime Univ.,Shanghai 200135,China
2. College of Information Science and Technology,Donghua Univ.,Shanghai 200051,China
Abstract:FDES (fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events, here the information system is divided into some independent intelligent entitative Agents. The concept of information processing state based on Agents was proposed. The processing state of Agent can be judged by some assistant observation parameters about the Agent and its environment around, and the transition among these states can be represented by FDES based on rules. In order to ensure the harmony of the Agents for information processing, its upstream and downstream buffers are considered in the modeling of the Agent system,and the supervisory controller based on FDES is constructed. The processing state of Agent can be adjusted by the supervisory controller to improve the stability of the system and the efficiency of resource utilization during the process according to the control policies. The result of its application was provided to illustrate the validity of the supervisory adjustment.
Keywords:fuzzy discrete event systems (FDES) fuzzy rule supervisory control Agent
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