LEADER 04357nam 22006255 450 001 9910746094203321 005 20230630163154.0 010 $a981-9902-68-1 024 7 $a10.1007/978-981-99-0268-2 035 $a(MiAaPQ)EBC30614294 035 $a(Au-PeEL)EBL30614294 035 $a(DE-He213)978-981-99-0268-2 035 $a(PPN)272268739 035 $a(CKB)27357709100041 035 $a(EXLCZ)9927357709100041 100 $a20230630d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Optimal Control for Distributed Industrial Systems /$fby Shaoyuan Li, Yi Zheng, Binqiang Xue 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (273 pages) 225 1 $aAdvanced and Intelligent Manufacturing in China,$x2731-5991 311 08$aPrint version: Li, Shaoyuan Intelligent Optimal Control for Distributed Industrial Systems Singapore : Springer Singapore Pte. Limited,c2023 9789819902675 327 $aStatus of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process. 330 $aThis book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. 410 0$aAdvanced and Intelligent Manufacturing in China,$x2731-5991 606 $aAutomatic control 606 $aIndustrial engineering 606 $aProduction engineering 606 $aTelecommunication 606 $aControl and Systems Theory 606 $aIndustrial and Production Engineering 606 $aCommunications Engineering, Networks 615 0$aAutomatic control. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aTelecommunication. 615 14$aControl and Systems Theory. 615 24$aIndustrial and Production Engineering. 615 24$aCommunications Engineering, Networks. 676 $a629.8 700 $aLi$b Shaoyuan$0943028 701 $aZheng$b Yi$0648579 701 $aXue$b Binqiang$01427780 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746094203321 996 $aIntelligent Optimal Control for Distributed Industrial Systems$93562721 997 $aUNINA