@article{1470268,
      author = {Li, Shaoyuan, and Zheng, Yi, and Xue, Binqiang,},
      url = {http://library.usi.edu/record/1470268},
      title = {Intelligent optimal control for distributed industrial  systems /},
      abstract = {This book focuses on the distributed control and  estimation of large-scale networked distributed systems and  the approach of distributed model predictive and moving  horizon estimation. Both principles and engineering  practice have been addressed, with more weight placed on  engineering practice. This is achieved by providing an  in-depth study on several major topics such as the state  estimation and control design for the networked system with  considering time-delay, data-drop, etc., Distributed MPC  design for improving the performance of the overall  networked system, which includes several classic strategies  for different scenarios, details of the application of the  distributed model predictive control to smart grid system  and distributed water network. The comprehensive and  systematic treatment of theoretical and practical issues in  distributed MPC for networked systems is one of the major  features of the book, which is particularly suited for  readers who are interested to learn practical solutions in  distributed estimation and optimization of distributed  networked systems. The book benefits researchers,  engineers, and graduate students in the fields of chemical  engineering, control theory and engineering, electrical and  electronic engineering, chemical engineering, and computer  engineering, etc. This book is a translation of an original  German edition. The translation was done with the help of  artificial intelligence (machine translation by the service  DeepL.com). A subsequent human revision was done primarily  in terms of content, so that the book will read  stylistically differently from a conventional translation.},
      doi = {https://doi.org/10.1007/978-981-99-0268-2},
      recid = {1470268},
      pages = {1 online resource (239 pages) :},
}