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


Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

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Hardback by Yaofei Han , Chao Gong

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This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based... Read more

    Publisher: Springer Verlag, Singapore
    Publication Date: 09/02/2022
    ISBN13: 9789811680656, 978-9811680656
    ISBN10: 9811680655

    Number of Pages: 129

    Non Fiction , Technology, Engineering & Agriculture , Education

    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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