{
"item_title" : "Model Predictive Control for AC Motors",
"item_author" : [" Yaofei Han", "Chao Gong", "Jinqiu Gao "],
"item_description" : "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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Model Predictive Control for AC Motors : Robustness and Accuracy Improvement Techniques
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Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9789811680687
- ISBN-10: 981168068X
- Publisher: Springer
- Publish Date: February 2023
- Dimensions: 9.21 x 6.14 x 0.31 inches
- Shipping Weight: 0.47 pounds
- Page Count: 129
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