Nonlinear MPC of a Heavy-Duty Diesel Engine With Learning Gaussian Process Regression-Reference-Cited by-同舟云学术

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Nonlinear MPC of a Heavy-Duty Diesel Engine With Learning Gaussian Process Regression

Published:2022-01 Issue:1 Volume:30 Page:113-129
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Bergmann Daniel^ORCID,Harder Karsten,Niemeyer Jens,Graichen Knut^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/87/9652013/09354445.pdf?arnumber=9354445

Cited by 8 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. Control of combustion distributions in compression-ignition engines using rate-constrained model predictive control with reference preview;International Journal of Engine Research;2024-05-09

2. Gaussian Process-Based Learning Model Predictive Control With Application to USV;IEEE Transactions on Industrial Electronics;2024

3. A Learning-and-tube-based Robust Model Predictive Control Strategy for Plug-in Hybrid Electric Vehicle;IEEE Transactions on Intelligent Vehicles;2024

4. A Hierarchical Economic Model Predictive Controller That Exploits Look-Ahead Information of Roads to Boost Engine Performance;IEEE Transactions on Control Systems Technology;2023-11

5. Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application;Expert Systems with Applications;2023-08

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