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Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
Yaofei Han
(Illustrated by)
·
Chao Gong
(Illustrated by)
·
Jinqiu Gao
(Illustrated by)
·
Springer
· Paperback
Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques - Han, Yaofei ; Gong, Chao ; Gao, Jinqiu
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Synopsis "Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques"
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
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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