Model Predictive Control using linearized Radial Basis Function Neural Models for Water Distribution Networks-Reference-Cited by-同舟云学术

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Model Predictive Control using linearized Radial Basis Function Neural Models for Water Distribution Networks

Published:2019-08 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Conference on Control Technology and Applications (CCTA)
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Author:

Balla Krisztian Mark,Jensen Tom Norgaard,Bendtsen Jan Dimon,Kallesoe Carsten Skovmose

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8911117/8920394/08920627.pdf?arnumber=8920627

Cited by 9 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. Data Driven System Identification of Water Distribution Systems via Kernel-Based Interpolation;World Environmental and Water Resources Congress 2024;2024-05-16

2. Data-driven predictive control strategies of water distribution systems using sparse regression;Journal of Water Process Engineering;2024-03

3. Pump Scheduling Optimization in Urban Water Supply Stations: A Physics‐Informed Multiagent Deep Reinforcement Learning Approach;International Journal of Energy Research;2024-01

4. Research on a Pressure Control Method for a Liquid Supply System Based on Online Updating of a Radial Basis Function Neural Network;Processes;2023-12-26

5. Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach;Sensors;2023-11-01

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