Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants

Published:2020-09-25 Issue: Volume:6 Page:
ISSN:2297-3362
Container-title:Frontiers in Built Environment
language:
Short-container-title:Front. Built Environ.

Author:

Simpson Thomas,Dertimanis Vasilis K.,Chatzi Eleni N.

Funder

Eidgenössische Technische Hochschule Zürich

Publisher

Frontiers Media SA

Subject

Urban Studies,Building and Construction,Geography, Planning and Development

Reference45 articles.

1. On real-time pseudo-dynamic sub-structure testing: algorithm, numerical and experimental results;Bayer;Aerospace Sci. Technol,2005

2. Transform-domain adaptive filters: an analytical approach;Beaufays;IEEE Trans. Signal Process,1995

3. Real-time hybrid testing techniques;Benson Shing,2008

4. Real-time hybrid testing using model-based delay compensation;Carrion,2006

5. Adaptive time series compensator for delay compensation of servo-hydraulic actuator systems for real-time hybrid simulation;Chae;Earthquake Eng. Struct. Dyn,2013

Cited by 7 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. Comprehensive Assessment of the Seismic Performance of an Innovative Hybrid Semiactive and Passive State Control System for a Low‐Degree‐of‐Freedom Structure Using Real‐Time Hybrid Simulation;Structural Control and Health Monitoring;2024-01

2. Iterative Method for Real-Time Hybrid Testing: Application to a Cantilever Beam with Two Interface Degrees of Freedom;2024

3. Validation of model-based adaptive control method for real-time hybrid simulation;SMART STRUCT SYST;2023

4. Model order reduction for real-time hybrid simulation: Comparing polynomial chaos expansion and neural network methods;Mechanism and Machine Theory;2022-12

5. Reinforcement learning control method for real‐time hybrid simulation based on deep deterministic policy gradient algorithm;Structural Control and Health Monitoring;2022-07

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