一种优化的线性随机系统的状态可估计性  

One Optimized State Estimability of Linear Stochastic System

作　　者：江浩[1] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072

出　　处：《工业控制计算机》2015年第4期40-42,共3页Industrial Control Computer

摘　　要：从信息论的角度来考察线性随机系统的可估计性问题。之前对于访问约束(Access Constraint)问题研究的比较多,但是大多是基于传统控制的研究方法。在前人研究的基础上把互信息分析与率失真联系起来,用率失真之后的好处,在于能将访问约束下信道传输的性能体现出来。从公式分析与仿真结果可以看到,存在合理的通信序列,使得系统在访问约束的情况下,能够很好的保持系统状态的可估计性。State estimabiIity of Iinear stochastic system is discussed in this paper.There are many researches in this area,but most are based on the traditionaI controI methods.In this paper,based on the previous research,the mutuaI information is dis-cussed with the rate-distortion,after using rate-distortion,it can refIect the good performance of access constraints on chan-neI transmission.AnaIyticaI anaIysis and simuIation resuIts show that there exist proper communication strategies which pre-serve the estimabiIity of the system under communication access constraints.

关 键 词：访问约束 互信息 率失真 可估计性 

分 类 号：TP14[自动化与计算机技术—控制理论与控制工程]