Joint estimation and identification for stochastic systems with unknown inputs

被引：32

作者：

Lan, Hua ^{[1
]}

Liang, Yan ^{[1
]}

Yang, Feng ^{[1
]}

Wang, Zengfu ^{[1
]}

Pan, Quan ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China

来源：

IET CONTROL THEORY AND APPLICATIONS | 2013年 / 7卷 / 10期

基金：

美国国家科学基金会;

关键词：

STATE ESTIMATION; TARGET TRACKING; FAULT-DETECTION; LINEAR-SYSTEMS; OBSERVERS; ALGORITHMS; BENCHMARK; DESIGN;

D O I：

10.1049/iet-cta.2013.0996

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Motivated by tracking a manoeuvring target in electronic counter environments, the authors present the problem of joint estimation and identification of a class of discrete-time stochastic systems with unknown inputs in both the plant and sensors. Based on the expectation-maximum criterion, the joint optimisation scheme of state estimation, parameter identification and iteration terminate decision were derived. A numerical example of tracking a manoeuvring target accompanied range gate pull-off is utilised to verify the proposed scheme.

引用

页码：1377 / 1386

页数：10

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