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
"synopsis" may belong to another edition of this title.
Yaofei Han (S’07-M’17) was born in Henan, China. He received the M.S. in 2005 and his Ph.D. in 2010, in power electronics and drives from China University of Mining and Technology respectively. He had been an associate professor at Henan University of Urban Construction since 2012, served in this capacity from 2010 to 2019. He was with the School of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (VT), as a visiting scholar from 2017 to 2019. He is currently an Associate Professor of power electronics and electrical drives at National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China. His research interests includemulti-level power converter for power conversion and motor control, high-efficiency converter for renewable power conversion system.
Ms. Jinqiu Gao was born in Shannxi province in P.R. China, on January 7, 1996. She received the Bachelor and master degrees in electrical engineering from Northwestern Polytechnical University, Xi'an, China, in 2017 and 2020, respectively. She is currently working toward the Ph.D. degree in control science and engineering with the Central South University, Changsha, China. Her research interests include fault diagnosis for traction motor, power electronics and motion control
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
"About this title" may belong to another edition of this title.
US$ 2.64 shipping within U.S.A.
Destination, rates & speedsSeller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 44040819-n
Quantity: 1 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # S0-9789811680656
Quantity: 1 available
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condition: New. Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques 0.84. Book. Seller Inventory # BBS-9789811680656
Quantity: 5 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Apr0412070093443
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 44040819
Quantity: 1 available
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING. Seller Inventory # 9789811680656
Quantity: 1 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9789811680656
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 44040819-n
Quantity: 3 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP. Seller Inventory # 26396346884
Quantity: 4 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9789811680656_new
Quantity: Over 20 available