Decentralized Control for Urban Drainage Systems Using Replicator Dynamics-Reference-Cited by-同舟云学术

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Decentralized Control for Urban Drainage Systems Using Replicator Dynamics

Published:2022 Issue: Volume:10 Page:56740-56762
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Obando German¹^ORCID,Quijano Nicanor²^ORCID,Ocampo-Martinez Carlos³^ORCID

Affiliation:

1. School of Engineering, Science and Technology, Universidad del Rosario, Bogotá, Colombia

2. Department of Electric and Electronics Engineering, Universidad de los Andes, Bogotá, Colombia

3. Automatic Control Department, Universitat Politècnica de Catalunya, Barcelona, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09780412.pdf?arnumber=9780412

Reference56 articles.

1. Quantifying the true potential of Real Time Control in urban drainage systems

2. Design and evaluation of control strategies in urban drainage systems in Kunming city

3. Quadratic programming methods for reduced hessian SQP

4. Model Predictive Control of Wastewater Systems

5. Linear-quadratic regulators applied to sewer network flow control

Cited by 5 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. An escort replicator dynamic with a continuous action space and its application to resource management;Chaos, Solitons & Fractals;2024-08

2. Multi-Population Approach for Decentralized Control of Urban Drainage Systems with Replicator Dynamics;2024 European Control Conference (ECC);2024-06-25

3. Juegos poblacionales y modelos dinámicos de pago: Un nuevo paradigma para control y optimización;Revista Iberoamericana de Automática e Informática industrial;2024-04-17

4. The Impact of Blue‐Green Infrastructure and Urban Area Densification on the Performance of Real‐Time Control of Sewer Networks;Water Resources Research;2023-06

5. Model Predictive Control of water resources systems: A review and research agenda;Annual Reviews in Control;2023

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