發(fā)布時間：2018-03-25 19:01

  本文選題：離散事件系統(tǒng)　切入點：高通量篩選系統(tǒng)　出處：《控制理論與應用》2017年05期

【摘要】：對一類新興的離散事件系統(tǒng)— 高通量篩選系統(tǒng)而言,max-plus算法是強有力的事件域建模與分析工具,因此,其常被用來進行該系統(tǒng)的建模及控制.然而,有時,尤其是在執(zhí)行控制策略的時候,需要時間域的描述.為了同時從時間域和事件域高效描述系統(tǒng),本文利用基于雙變量的形式冪級數(shù),把max-plus算法模型擴展為雙子代數(shù)模型.對可能產(chǎn)生的非因果模型,為便于進行系統(tǒng)分析、仿真和后續(xù)的控制,提出了多個相應的基于雙變量(時間變量和事件變量)的轉換矩陣.通過矩陣轉換,得到滿足要求的因果模型.最后用實例表明了該方法及其在提高該系統(tǒng)控制效率方面的有效性.
[Abstract]:For a class of emerging discrete event systems, such as high-throughput filtering systems, the Max-plus algorithm is a powerful tool for event domain modeling and analysis. Therefore, it is often used to model and control the system. In order to describe the system efficiently from both time domain and event domain, we use bivariate formal power series. The max-plus algorithm model is extended to the double subalgebra model. For the possible non-causal model, for the sake of system analysis, simulation and subsequent control, In this paper, several corresponding transformation matrices based on bivariate (time variable and event variable) are proposed. Finally, an example is given to demonstrate the effectiveness of the proposed method in improving the control efficiency of the system.
【作者單位】： 上海應用技術大學電氣與電子工程學院;
【基金】：上海市浦江人才計劃項目(14PJ1407900) 輕工過程先進控制教育部重點實驗室開放課題(APCLI1402) 上海市科委項目(15ZR1440700)資助~~
【分類號】：O231
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本文編號：1664436