LEADER 03259nam 22006375 450 001 9910616387203321 005 20251113211622.0 010 $a981-19-6084-4 024 7 $a10.1007/978-981-19-6084-0 035 $a(MiAaPQ)EBC7105463 035 $a(Au-PeEL)EBL7105463 035 $a(CKB)24978813400041 035 $a(PPN)265863775 035 $a(OCoLC)1347020388 035 $a(DE-He213)978-981-19-6084-0 035 $a(EXLCZ)9924978813400041 100 $a20221003d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Cooperative Model Predictive Control of Networked Systems /$fby Yuanyuan Zou, Shaoyuan Li 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (159 pages) 225 1 $aMathematics and Statistics Series 311 08$aPrint version: Zou, Yuanyuan Distributed Cooperative Model Predictive Control of Networked Systems Singapore : Springer,c2022 9789811960833 320 $aIncludes bibliographical references. 327 $aIntroduction -- Distributed Model Predictive Control of Networked Systems with Event-triggered Computation -- Distributed Asynchronous Model Predictive Control of Networked Systems with Event-triggered Communication -- Distributed Dynamic Event-triggered Model Predictive Control of Networked systems -- Distributed Mixed Time/event-triggered Distributed Model Predictive Control of Networked Systems. 330 $aThis book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC. 410 0$aMathematics and Statistics Series 606 $aAutomatic control 606 $aAutomation 606 $aSystem theory 606 $aControl theory 606 $aControl and Systems Theory 606 $aAutomation 606 $aSystems Theory, Control 615 0$aAutomatic control. 615 0$aAutomation. 615 0$aSystem theory. 615 0$aControl theory. 615 14$aControl and Systems Theory. 615 24$aAutomation. 615 24$aSystems Theory, Control. 676 $a629.8 700 $aZou$b Yuanyuan$01262354 702 $aLi$b Shaoyuan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910616387203321 996 $aDistributed cooperative model predictive control of networked systems$93041556 997 $aUNINA