LEADER 04908nam 2200757 450 001 9910141321203321 005 20230125233315.0 010 $a1-119-94264-0 010 $a1-280-58858-6 010 $a9786613618412 010 $a1-119-94144-X 010 $a1-119-94145-8 024 7 $a10.1002/9781119941446 035 $a(CKB)2670000000161760 035 $a(EBL)877206 035 $a(SSID)ssj0000640008 035 $a(PQKBManifestationID)11408502 035 $a(PQKBTitleCode)TC0000640008 035 $a(PQKBWorkID)10611300 035 $a(PQKB)11323804 035 $a(DLC) 2012002774 035 $a(CaBNVSL)mat06198919 035 $a(IDAMS)0b000064818125ef 035 $a(IEEE)6198919 035 $a(Au-PeEL)EBL877206 035 $a(CaPaEBR)ebr10546608 035 $a(CaONFJC)MIL361841 035 $a(OCoLC)784137632 035 $a(CaSebORM)9781119942641 035 $a(MiAaPQ)EBC877206 035 $a(PPN)266069223 035 $a(EXLCZ)992670000000161760 100 $a20151221d2012 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPredictive control of power converters and electrical drives /$fJose Rodri?guez Pe?rez, Patricio Cortes Estay 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d2012. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2012] 215 $a1 online resource (250 p.) 225 1 $aWiley - IEEE ;$v44 300 $aDescription based upon print version of record. 311 $a1-119-96398-2 320 $aIncludes bibliographical references and index. 327 $aFront Matter -- Introduction. Introduction -- Classical Control Methods for Power Converters and Drives -- Model Predictive Control -- Model Predictive Control Applied to Power Converters. Predictive Control of a Three-Phase Inverter -- Predictive Control of a Three-Phase Neutral-Point Clamped Inverter -- Control of an Active Front-End Rectifier -- Control of a Matrix Converter -- Model Predictive Control Applied to Motor Drives. Predictive Control of Induction Machines -- Predictive Control of Permanent Magnet Synchronous Motors -- Design and Implementation Issues of Model Predictive Control. Cost Function Selection -- Weighting Factor Design -- Delay Compensation -- Effect of Model Parameter Errors -- Appendix A: Predictive Control Simulation ? Three-Phase Inverter -- Appendix B: Predictive Control Simulation ? Torque Control of an Induction Machine Fed by a Two-Level Voltage Source Inverter -- Appendix C: Predictive Control Simulation ? Matrix Converter -- Index. 330 $aThe application Model Predictive Control (MPC) controls electrical energy with the use of power converters and offers a highly flexible alternative to the use of modulators and linear controllers. This new approach takes into account the discrete and nonlinear nature of the power converters and drives and promises to have a strong impact on control in power electronics in the coming decades.Predictive Control of Power Converters and Electrical Drives provides a comprehensive overview of the general principles and current research into MPC and is ideal for engineers, specialists and researchers needing: . a straightforward explanation of the theory and implementation of predictive control;. analysis on classical converter control methods and electrical drives control methods;. application examples and case studies demonstrating how control schemes have been implemented;. practice in running their own MATLAB(R) simulations through the companion website.With the information provided, power electronics specialists will be able to start applying this new control technique. This book will help electrical, electronics and control engineers, R&D engineers, product development engineers working in power electronics and drives, and industry engineers of power conversions and motor drives. It is also a complete reference for university researchers, graduate and senior-level undergraduate students of electrical and electronics engineering, academic control specialists, and academics in electrical drives.URL: www.wiley.com/go/rodriguez_control. 410 0$aWiley - IEEE ;$v44 606 $aElectric driving$xAutomatic control 606 $aElectric current converters$xAutomatic control 606 $aPredictive control 615 0$aElectric driving$xAutomatic control. 615 0$aElectric current converters$xAutomatic control. 615 0$aPredictive control. 676 $a621.3815/322 700 $aRodri?guez Pe?rez$b Jose?$0845726 701 $aEstay$b Patricio Cortes$0845727 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910141321203321 996 $aPredictive control of power converters and electrical drives$91888019 997 $aUNINA LEADER 01210oam 2200349 450 001 9910704825303321 005 20131105141307.0 035 $a(CKB)5470000002445485 035 $a(OCoLC)862114334 035 $a(EXLCZ)995470000002445485 100 $a20131105d2013 ua 0 101 0 $aeng 135 $aurmn||||a|||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aCrash modification factors in practice $ereal-world application of crash modification factors 210 1$aWashington, D.C. :$cU.S. Department of Transportation, Federal Highway Administration,$d[2013] 215 $a1 online resource (2 unnumbered pages) 300 $aTitle from title screen (viewed on November 5, 2013). 300 $a"FHWA-SA-13-017." 517 $aCrash modification factors in practice 606 $aTraffic safety$xRisk assessment$zUnited States$xPlanning 615 0$aTraffic safety$xRisk assessment$xPlanning. 712 02$aUnited States.$bFederal Highway Administration, 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910704825303321 996 $aCrash modification factors in practice$93481835 997 $aUNINA LEADER 03867nam 22006615 450 001 9910746959203321 005 20230929134041.0 010 $a981-9943-03-5 024 7 $a10.1007/978-981-99-4303-6 035 $a(MiAaPQ)EBC30764554 035 $a(Au-PeEL)EBL30764554 035 $a(DE-He213)978-981-99-4303-6 035 $a(PPN)272735043 035 $a(CKB)28443807800041 035 $a(EXLCZ)9928443807800041 100 $a20230929d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in IoT and Cyborgization /$fedited by Rajesh Kumar Dhanaraj, Bharat S. Rawal, Sathya Krishnamoorthi, Balamurugan Balusamy 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (191 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1103 311 08$aPrint version: Dhanaraj, Rajesh Kumar Artificial Intelligence in IoT and Cyborgization Singapore : Springer,c2023 9789819943029 327 $aIntroduction to Cyborgization systems -- AI based Smart IoT systems -- Role of Machine Learning and Deep Learning applications in the Internet of Things (IoT) Security -- IOT Based Experimental Relaying System for Smart Grid -- Environment Twin based Deep learning model using Reconfigurable Holographic Surface for user location prediction -- Surveillance of Robotic Boat Using IoT and Image Processing -- Advanced Human ? Computer Interaction Technology in Digital Twins -- CNN Architecture and Classification of Miosis and Mydriasis Clinical Conditions -- Role of Object Detection for Brain Tumor Identification Using Magnetic Resonance Image Scans -- Deep Learning Model for Predicting Diabetes Disease Using SVM -- Deep Learning For Targeted Treatment. . 330 $aThis book introduces the concept of combining artificial intelligence (AI) and Internet of things (IoT) with real human organs to form a cybernetic organism or cyborg. It is a concept of man?machine mixture which helps in restoring or enhancing the ability of a body part by integrating some technology or artificial component with that body part. These smart artificial organs act as a substitute for real organs having various capabilities like scanning the body, detecting and transmitting the diagnostic data to machines. For example, an artificial heart is capable of monitoring the overall health of a person, and lungs can inform the doctor of abnormalities. This book benefits academic researchers and industrialist who work in the field cyborgization and IoT within human bodies. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1103 606 $aInternet of things 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aCooperating objects (Computer systems) 606 $aInternet of Things 606 $aArtificial Intelligence 606 $aComputational Intelligence 606 $aCyber-Physical Systems 615 0$aInternet of things. 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aCooperating objects (Computer systems) 615 14$aInternet of Things. 615 24$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aCyber-Physical Systems. 676 $a629.892 700 $aDhanaraj$b Rajesh Kumar$01380450 701 $aRawal$b Bharat S$01376504 701 $aKrishnamoorthi$b Sathya$01431307 701 $aBalusamy$b Balamurugan$01340583 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746959203321 996 $aArtificial Intelligence in IoT and Cyborgization$93573642 997 $aUNINA