@article{1444338,
      recid = {1444338},
      author = {Han, Yaofei. and Gong, Chao. and Gao, Jinqiu.},
      title = {Model predictive control for AC motors : robustness and  accuracy improvement techniques /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource},
      year = {2022},
      abstract = {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.},
      url = {http://library.usi.edu/record/1444338},
      doi = {https://doi.org/10.1007/978-981-16-8066-3},
}