000 03368nam a22005535i 4500
001 978-3-658-15928-3
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008 161007s2017 gw | s |||| 0|eng d
020 _a9783658159283
_9978-3-658-15928-3
024 7 _a10.1007/978-3-658-15928-3
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aLuo, Hao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_958102
245 1 0 _aPlug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes
_h[electronic resource] /
_cby Hao Luo.
250 _a1st ed. 2017.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2017.
300 _aXVII, 149 p. 67 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPnP Process Monitoring and Control Architecture -- Real-Time Configuration Techniques for PnP Process Monitoring -- Real-Time Configuration Techniques for PnP Performance Optimization -- Benchmark Study and Real-Time Implementation.
520 _aDr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented. Contents PnP Process Monitoring and Control Architecture Real-Time Configuration Techniques for PnP Process Monitoring Real-Time Configuration Techniques for PnP Performance Optimization Benchmark Study and Real-Time Implementation Target Groups Researchers and students of Automation and Control Engineering Practitioners in the area of Industrial and Production Engineering The Author Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aElectrical engineering.
_958103
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aElectrical and Electronic Engineering.
_958104
650 2 4 _aIndustrial and Production Engineering.
_931644
710 2 _aSpringerLink (Online service)
_958105
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783658159276
776 0 8 _iPrinted edition:
_z9783658159290
856 4 0 _uhttps://doi.org/10.1007/978-3-658-15928-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80076
_d80076