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Springer
Model Predictive Control for AC Motors : Robustness and Accuracy Improvement Techniques
Product Code:
9789811680687
ISBN13:
9789811680687
Condition:
New
$55.66
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
| Author: Yaofei Han, Chao Gong, Jinqiu Gao |
| Publisher: Springer |
| Publication Date: Feb 10, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 981168068X |
| ISBN-13: 9789811680687 |
Model Predictive Control for AC Motors : Robustness and Accuracy Improvement Techniques
$55.66
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
| Author: Yaofei Han, Chao Gong, Jinqiu Gao |
| Publisher: Springer |
| Publication Date: Feb 10, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 981168068X |
| ISBN-13: 9789811680687 |
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