Consensus algorithm‐based approach to fundamental modeling of water pipe networks-Reference-Cited by-同舟云学术

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Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Published:2017-05-02 Issue:9 Volume:63 Page:3860-3870
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Lee Shin Je¹,Lee Jong Min¹^ORCID,Wu Jingbo²,Allgöwer Frank²,Suh Jung Chul³,Lee Gibaek⁴

Affiliation:

1. School of Chemical and Biological EngineeringInstitute of Chemical Processes, Seoul National UniversityGwanak‐gu Seoul08826 Republic of Korea

2. Institute for Systems Theory and Automatic ControlUniversity of StuttgartStuttgart70569 Germany

3. Samchully CorporationYeongdeungpo‐guSeoul07328 Republic of Korea

4. Dept. of Chemical and Biological EngineeringKorea National University of TransportationChungju‐si Chungbuk27469 Republic of Korea

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.15760

Reference14 articles.

1. A selective literature review of transient-based leak detection methods

2. Online Burst Detection and Location of Water Distribution Systems and Its Practical Applications

3. Robust leak detection and its localization using interval estimation for water distribution network

4. Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution Systems

5. A non-linear multiple-model state estimation scheme for pipeline leak detection and isolation

Cited by 3 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. On the variable structure control approach with sliding modes to robust finite-time consensus problems: A methodological overview based on nonsmooth analysis;Annual Reviews in Control;2023

2. Long range pipeline leak detection and localization using discrete observer and support vector machine;AIChE Journal;2019-02-14

3. Towards the cooperative-based control of chemical plants;Computer Aided Chemical Engineering;2018

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