找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Robust Kalman Filtering for Signals and Systems with Large Uncertainties; Ian R. Petersen,Andrey V. Savkin Book 1999 Springer Science+Busi

[復(fù)制鏈接]
樓主: Agitated
11#
發(fā)表于 2025-3-23 09:50:16 | 只看該作者
Robust State Estimation with Discrete and Continuous Measurements,nly at discrete sampling instants. Hence, we are motivated to consider“hybrid” problems of problems of state estimation and model validation in which the underlying process model is continuous but the available measured data are available at discrete sampling times. Furthermore, we extend this probl
12#
發(fā)表于 2025-3-23 17:39:32 | 只看該作者
Set-Valued State Estimation with Structured Uncertainty,mation results for a class of uncertain systems with structured uncertainties. This class of uncertain systems is one in which the uncertainty is described by an “Averaged Integral Quadratic Constraint”(AIQC). This uncertainty description extends the standard integral quadratic constraint uncertaint
13#
發(fā)表于 2025-3-23 21:50:39 | 只看該作者
14#
發(fā)表于 2025-3-24 02:12:14 | 只看該作者
Set-Valued State Estimation for Nonlinear Uncertain Systems, are many applications of Kalman Filtering in which the underlying signal model is nonlinear. The approach which we will follow in this chapter is the set-valued state estimation approach such as presented in Chapter 4. We will model the uncertainty and disturbances in the system deterministically v
15#
發(fā)表于 2025-3-24 06:08:35 | 只看該作者
Robust Filtering Applied to Induction Motor Control,d in an induction motor control problem. This application of robust filtering to induction motor control was first presented in the paper [105]. The induction motor control problem investigated in [105] and in a related paper [108] involves the construction of a robust version of Direct Torque Contr
16#
發(fā)表于 2025-3-24 08:33:31 | 只看該作者
2373-7719 owever, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman
17#
發(fā)表于 2025-3-24 11:50:04 | 只看該作者
18#
發(fā)表于 2025-3-24 16:12:41 | 只看該作者
https://doi.org/10.1007/978-1-4612-1594-3Kalman filter; control engineering; design; development; filter; filtering; filters; signal processing; stab
19#
發(fā)表于 2025-3-24 22:51:44 | 只看該作者
20#
發(fā)表于 2025-3-25 03:09:28 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 10:55
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
廊坊市| 抚松县| 高青县| 炉霍县| 朝阳区| 蛟河市| 平乐县| 浙江省| 肃宁县| 儋州市| 利辛县| 黑山县| 海口市| 贡山| 恩平市| 新河县| 名山县| 星座| 阜南县| 若羌县| 葫芦岛市| 子长县| 东港市| 吉安市| 宜兰县| 武强县| 铅山县| 年辖:市辖区| 新河县| 江山市| 烟台市| 宜昌市| 新津县| 遂昌县| 延吉市| 延津县| 原阳县| 内黄县| 溧阳市| 上思县| 大悟县|