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: Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems; Maciej Patan Book 2012 Springer-Verlag GmbH Berlin

[復(fù)制鏈接]
樓主: emanate
21#
發(fā)表于 2025-3-25 06:45:40 | 只看該作者
Resource Aware Mobile Sensor Routing,ility, as well as limited energy supply, computing power, memory and communication ability. Endowing nodes in a sensor network with mobility drastically expands the spectrum of the network’s capabilities. Moreover, assuming that each mobile node possesses a certain amount of decision making autonomy
22#
發(fā)表于 2025-3-25 09:01:58 | 只看該作者
Decentralized Sensor Scheduling Using Randomized Gossip Algorithms,maintain the whole network and responsible for global optimization of the observation strategy. The distributed nature of the design problem is taken into account very occasionally. But recent advancements in sensor networks necessitate effective, distributed and fault-tolerant algorithms for comput
23#
發(fā)表于 2025-3-25 13:39:20 | 只看該作者
24#
發(fā)表于 2025-3-25 19:37:18 | 只看該作者
Sensor Location under Parametric and Location Uncertainty,depend on the unknown parameter values which only have to be estimated. This causes one of the main complications related to the determination of optimal experimental conditions. A common approach is then to design the experiment for some reasonable nominal parameter values whose knowledge is a prer
25#
發(fā)表于 2025-3-25 21:30:51 | 只看該作者
Sensor Network Design for Fault Diagnosis in DPSs,hniques with many potential applications is described in the rich literature. For surveys, the interested reader is referred to [17, 39, 41, 60, 124, 125, 209]. Nevertheless, a great majority of contributions focus on the methodology dedicated to lumped systems, and there are no effective methods ta
26#
發(fā)表于 2025-3-26 01:12:32 | 只看該作者
27#
發(fā)表于 2025-3-26 07:10:10 | 只看該作者
Conclusions and Further Research Directions,uisition, being an integral part of control design, is fundamental since in distributed systems it exerts a strong influence on the accuracy of estimation, the quality of control and prediction of system behavior. Therefore, sensor networks, being, in fact, modern observational systems which have re
28#
發(fā)表于 2025-3-26 10:01:47 | 只看該作者
29#
發(fā)表于 2025-3-26 15:50:25 | 只看該作者
30#
發(fā)表于 2025-3-26 20:35:40 | 只看該作者
https://doi.org/10.1007/978-3-642-28230-0Distributed Parameter Systems; Optimal Sensor Networks Scheduling; Sensor Networks; Sensor Scheduling
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 09:51
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
北碚区| 建昌县| 蕲春县| 扬州市| 平顶山市| 英德市| 咸丰县| 杭锦后旗| 正镶白旗| 古田县| 平安县| 合肥市| 山东| 惠东县| 论坛| 白城市| 西宁市| 巴林右旗| 习水县| 逊克县| 台江县| 黄浦区| 炎陵县| 合阳县| 玉树县| 南城县| 墨竹工卡县| 锦州市| 南昌市| 马鞍山市| 开远市| 沁水县| 仙游县| 文登市| 信宜市| 宝兴县| 清镇市| 米林县| 金昌市| 剑川县| 永城市|