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: Hardback
Length: 129 pages
Publication date: 09 February 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of enhancing the accuracy and robustness of model predictive control (MPC). It begins by introducing a groundbreaking disturbance observation- and compensation-based method, which forms the foundation of the subsequent chapters.
In the subsequent chapters, direct parameter identification methods are developed, offering innovative solutions to tackle the challenges of identifying model parameters accurately. Moreover, this book addresses the often overlooked issues of sampling and delay problems, providing comprehensive insights and practical approaches to overcome these complexities.
Throughout the book, the problems are tackled in a systematic and innovative manner, leveraging cutting-edge techniques and methodologies. Each chapter is well-organized, providing a clear roadmap for understanding and applying the discussed concepts.
Chapter 2, in particular, is made freely accessible to readers under a Creative Commons Attribution 4.0 International License via the provided link: link.springer.com. This chapter offers valuable insights and practical examples, making it an excellent resource for those interested in further exploring the realm of MPC.
Whether you are a researcher, engineer, or practitioner seeking to optimize control systems, this book is a valuable asset. It provides a comprehensive understanding of MPC principles, techniques, and applications, enabling you to develop more efficient and reliable control systems for a wide range of applications.
Weight: 362g
Dimension: 160 x 241 x 17 (mm)
ISBN-13: 9789811680656
Edition number: 1st ed. 2022
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