A hybrid approach for Structural Monitoring with self-organizing multi-agent systems and inverse numerical methods in material-embedded sensor networks

Author:

Bosse Stefan,Lechleiter Armin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference23 articles.

1. Pantke F, Bosse S, Lehmhus D, Lawo M. An artificial intelligence approach towards sensorial materials. In: Future computing conference; 2011.

2. Structural health monitoring: a machine learning perspective;Farrar,2013

3. The application of machine learning to structural health monitoring;Worden;Phil Trans R Soc A,2007

4. Damage identification using inverse methods;Friswell;Phil Trans R Soc A,2007

5. Friswell MI, Mottershead JE. Inverse methods in structural health monitoring. In: DAMAS 2001: 4th international conference on damage assessment of structures, Cardiff; June 2001. p. 201–10.

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Event-triggered Distributed Observer Based Output Regulation of Heterogeneous Multi-agent Systems;International Journal of Control, Automation and Systems;2024-03-20

2. Design of intelligent micro printer system;Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023);2023-06-20

3. Static group-bipartite consensus in networked robot systems with integral action;International Journal of Advanced Robotic Systems;2023-05-01

4. Oscillatory Group-Bipartite Consensus in a Swarm of Robots With Multiple Oscillatory Leaders;IEEE Transactions on Control of Network Systems;2023-03

5. Distributed cooperative fault detection and isolation for uncertain multi‐agent systems based on zonotope theory;International Journal of Adaptive Control and Signal Processing;2022-03-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3