Data-driven multi-model minimum variance controller design based on support vectors-Reference-Cited by-同舟云学术

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Data-driven multi-model minimum variance controller design based on support vectors

Published:2021-08 Issue: Volume:104 Page:28-39
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Alipouri Yousef,Kheradmand Alireza,Huang Biao^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference22 articles.

1. Performance Assessment of Control Loops: Theory and Applications;Huang,2012

2. Control performance assessment subject to multi-objective user-specified performance characteristics;Liu;IEEE Trans. Control Syst. Technol.,2011

3. Process performance monitoring using multivariate statistical process control;Martin;IEEE Proc. D,1996

4. Multirate minimum variance control design and control performance assessment: A data-driven subspace approach;Wang;IEEE Trans. Control Syst. Technol.,2007

5. Feedforward plus feedback controller performance assessment of MIMO systems;Huang;IEEE Trans. Control Syst. Technol.,2000

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. Data-Driven Stochastic Control of Atomic Number Density in Spin-Exchange Relaxation-Free Co-Magnetometers;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

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