Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

Yaofei Han; Chao Gong; Jinqiu Gao

doi:10.1007/978-981-16-8066-3

Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

Yaofei Han
, Chao Gong
, Jinqiu Gao

自动化学院

Tongji University
School of Automation

科研成果: 书/报告 › 书 › 同行评审

2 引用（Scopus）

摘要

This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

源语言	英语
出版商	Springer Nature
页数	129
ISBN（电子版）	9789811680663
ISBN（印刷版）	9789811680656
DOI	https://doi.org/10.1007/978-981-16-8066-3
出版状态	已出版 - 1 1月 2022

访问文件

10.1007/978-981-16-8066-3

其它文件与链接

链接到 Scopus 的出版物

引用此

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