Shulph Ink
Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
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- More about Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
This book provides systematic and innovative solutions to improve the accuracy and robustness of model predictive control, including disturbance observation- and compensation-based methods, direct parameter identification methods, and sampling and delay problems.
Format: Paperback / softback
Length: 129 pages
Publication date: 10 February 2023
Publisher: Springer Verlag, Singapore
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
Weight: 232g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811680687
Edition number: 1st ed. 2022
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