Closed-loop identification is important and necessary to various model-based advanced process control strategies, whose performance depends greatly on the informative property of the data set. Switching control is an important method in process control. Therefore, this paper studies the informative property of a data set in a single-input single-output (SISO) closed-loop system with a switching controller. It is proved that this data set is informative if the controller switches among at least two modes (i.e., feedback laws). Our result does not require any assumption on the way of switch and removes the constraints on the switching manner required in some classical literature. Finally, simulation case studies based on a continuous stirred-tank reactor (CSTR) process are given to validate the results.
在LMAP(Localization with mobile anchor points in wireless sensor networks)算法的基础上提出了一种改进算法:ELMAP算法。ELMAP算法改进了原算法的参考信息分组的选取机制,以达到摆脱对节点传输模型假设的依赖和提高实际应用中定位性能的目的。该算法选取具有相同接收信号强度(RSS)值的信息分组作为参考信息分组来对未知节点进行定位计算。仿真结果表明ELMAP算法比原算法具有更强的环境适应能力,并且可以通过调节接收到的信息分组数量和限定用于定位计算的参考信息分组的RSS值的范围来达到最佳状态。
