Disturbance rejection design for Gaussian process-based model predictive control using extended state observer-Reference-Cited by-同舟云学术

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Disturbance rejection design for Gaussian process-based model predictive control using extended state observer

Published:2024-07 Issue: Volume:186 Page:108708
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Zhang Fan^ORCID,Wang Li^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference32 articles.

1. Disturbance observers: methods and applications. I. Methods;Andrievsky;Autom. Remote Control,2020

2. Stochastic nonlinear model predictive control using Gaussian processes;Bradford,2018

3. Stochastic data-driven model predictive control using gaussian processes;Bradford;Comput. Chem. Eng.,2020

4. Gaussian process model predictive control of an unmanned quadrotor;Cao;J. Intell. Robot. Syst.,2017

5. Gaussian processes model-based control of underactuated balance robots;Chen,2019

Cited by 1 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. Accelerated MPC: A real-time model predictive control acceleration method based on TSMixer and 2D block stochastic configuration network imitative controller;Chemical Engineering Research and Design;2024-08

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