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Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques Hardback - 2022
by Yaofei Han (Editor); Chao Gong (Editor); Jinqiu Gao (Editor)
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From the publisher
From the rear cover
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
Details
- Title Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
- Author Yaofei Han (Editor); Chao Gong (Editor); Jinqiu Gao (Editor)
- Binding Hardback
- Pages 129
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2022-02-09
- Illustrated Yes
- Features Illustrated
- ISBN 9789811680656 / 9811680655
- Weight 0.84 lbs (0.38 kg)
- Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
- Category Technology & Industrial Arts
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Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
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Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
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Model Predictive Control for Ac Motors: Robustness and Accuracy Improvement Techniques
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