Approximate Scenario-Based Economic Model Predictive Control With Application to Wind Energy Conversion System-Reference-Cited by-同舟云学术

Approximate Scenario-Based Economic Model Predictive Control With Application to Wind Energy Conversion System

Published:2023-04 Issue:4 Volume:19 Page:5821-5829
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Cui Jinghan¹^ORCID,Liu Xiangjie²^ORCID,Chai Tianyou³^ORCID

Affiliation:

1. College of Communication Engineering, Jilin University, Changchun, China

2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

3. State Key Laboratory of Synthetical Automation for Process Industries and the International Joint Research Laboratory of Integrated Automation, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Science and Technology Major Project 2020 of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/9424/10081096/09822959.pdf?arnumber=9822959

Reference19 articles.

1. Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning

2. Probabilistic performance validation of deep learning‐based robust NMPC controllers

3. A deep learning-based approach to robust nonlinear model predictive control

4. Multi‐stage economic model predictive control for a gold cyanidation leaching process under uncertainty

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