Bullwhip reduction for ARMA demand: The proportional order-up-to policy versus the full-state-feedback policy

A ‘proportional’ order-up-to policy reacting to ARMA demand is analyzed using stochastic optimal control theory. This policy is compared with a full-state-feedback order-up-to policy. Necessary conditions for an optimum of a weighted sum of the inventory and the ordering variances for both policies are formulated. Based on this a relatively simple expression for the ‘full-state’ policy is derived. The comparison between the two policies demonstrates that the ‘intuitively’ designed proportional policy does not fulfill the objective of controlling both the inventory and ordering variance for all parameter values of the demand model as well as the full-state-feedback policy. The full-state-feedback policy outperforms the proportional policy in several aspects.     

基于模糊控制的气体流量控制系统

应用热式质量流量计直接测量气体质量流量。高性能AT89S51单片机作为控制器核心，并对控制量采用模糊控制算法。介绍了气体流量控制系统设计方法，给出了硬件原理图和软件主程序流程图。     

综合控制系统在压缩机防喘振控制中的应用

通过对ITCC防喘振控制进行分析，介绍了其防喘振控制原理、控制模式、控制程序、喘振恢复程序以及喘振检测程序的方法。     

电渣20Mn1A钢中铝和钛的控制

总结了电渣 2 0Mn1A钢从电炉冶炼到电渣重熔钢中铝、钛及主要成分的变化情况 ,为该钢的生产提供了控制成分的依据     

基于PLC的工程轮胎胎面缠绕机控制系统

叙述了工程轮胎胎面缠绕成型的基本原理 ,介绍了自行设计开发的基于PLC的工程轮胎胎面缠绕机控制系统 ,并对如何利用胎面胶条的厚度控制胎面外廓作了阐述     

过程控制级模拟轧钢系统的研制及在热轧试车中的应用

宝钢集团上海第一钢铁有限公司(后面简称一钢)新建的不锈钢工程1780热轧项目中,为了能在较短周期内完成所有的应用软件开发与测试任务,特别研制了模拟轧钢功能。本论文主要阐述利用计算机的集成思想,结合热轧工艺,来开发模拟轧钢功能,以及利用模拟轧钢进行现场各种情况的模拟测试。     

SWRH82B钢中w(N)的控制

分析了武钢一炼钢厂SWRH82B生产过程中导致钢水增氮的各种因素，介绍了相应的控制措施及效果。     

多层砖砌体房屋震害分析及抗震措施

介绍了我国砖砌体房屋历年来遭受震害的程度以及砖砌体的抗震性能，针对一些震害现象，分别从建筑布置和抗震措施加强对砖砌体的抗震性能进行论述。     

无线数字通讯在耙料机控制系统中的应用

以无线通讯方式实现多台PLC之间以及PLC与微机之间的数据交换，在遥控监控站上完成对移动设备的控制与监视。     

Linear deterministic adaptive control: fundamental limitations?

This paper is concerned with the achievable performance of adaptive control algorithms. We show that when the only uncertainty is in the form of fixed parameter errors, then there exists an adaptive feedback law whose performance can be made arbitrarily close to that achievable when the system is a priori known. The result is not intended as a practical strategy. Instead, we use it to make the, perhaps obvious, point that meaningful results on performance of adaptive control algorithms must account for non-ideal factors including, at a minimum, noise, parameter time variations and unstructured uncertainty.