未知输入系统最优估计的研究综述  

A SURVEY OF OPTIMAL ESTIMATION FOR UNKNOWN INPUT SYSTEMS

作　　者：宋信敏 高玲[1] Song Xinmin;Gao Ling(School of Information Science and Engineering,Shandong Normal University,250358,Jinan,China)

机构地区：[1]山东师范大学信息科学与工程学院,济南250358

出　　处：《山东师范大学学报（自然科学版）》2022年第3期217-227,共11页Journal of Shandong Normal University(Natural Science)

基　　金：国家自然科学基金面上项目(61873152)。

摘　　要：在工程实践所研究的动力学系统中,系统模型通常是不精确的,在许多情况下存在无法测量的扰动或输入,将这些不知道任何/部分先验信息的扰动或输入统称为未知输入.未知输入的存在影响系统状态估计的准确性,进而影响系统的控制性能.因此,近几十年来,含有未知输入系统的最优估计问题引起了广大学者的关注.本文对现有文献进行梳理和分析,简述了未知输入系统最优估计的发展历史,对研究现状进行了分析,并对未知输入系统最优估计的未来发展趋向进行了预测.In the dynamic system studied in engineering practice, the system model is usually inaccurate, and there are unmeasurable disturbances or inputs in many cases. These disturbances or inputs that do not know any or part of the prior information are collectively referred to as unknown inputs. The existence of unknown input affects the accuracy of system state estimation, and then affects the control performance of the system. Therefore, in recent decades, the optimal estimation of systems with unknown inputs has attracted the attention of researchers. This paper reviews and analyzes the existing literature, briefly describes the historical development of the optimal estimation of unknown input systems, analyzes the research status, and forecasts the future development trend of the optimal estimation of unknown input systems.

关 键 词：未知输入 最优估计 丢包 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]