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035   $a(DE-He213)978-3-319-45735-2
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100   $a20160930d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Control of Electrical Drives and Power Electronic Converters /$fedited by Jacek Kabzi?ski
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XIX, 378 p. 274 illus., 157 illus. in color.) 
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v75
311   $a3-319-45734-9 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPart I: Electric Drives and Motion Control -- Part II: Electric Drives and Fault-Tolerant Control -- Part III: Design and Control of Power Converters.
330   $aThis contributed volume is written by key specialists working in multidisciplinary fields in electrical engineering, linking control theory, power electronics, artificial neural networks, embedded controllers and signal processing. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments and successful applications. The presented solutions concentrate on three main areas of interest: · motion control in complex electromechanical systems, including sensorless control; · fault diagnosis and fault tolerant control of electric drives; · new control algorithms for power electronics converters. The chapters and the complete book possess strong monograph attributes. Important practical and theoretical problems are deeply and accurately presented on the background of an exhaustive state-of the art review. Many results are completely new and were never published before. Well-known control methods like field oriented control (FOC) or direct torque control (DTC) are referred as a starting point for modifications or are used for comparison. Among numerous control theories used to solve particular problems are: nonlinear control, robust control, adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding mode control, signal filtration and processing, fault diagnosis, and fault tolerant control.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v75
606   $aAutomatic control
606   $aPower electronics
606   $aEnergy systems
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070
606   $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000
615  0$aAutomatic control.
615  0$aPower electronics.
615  0$aEnergy systems.
615 14$aControl and Systems Theory.
615 24$aPower Electronics, Electrical Machines and Networks.
615 24$aEnergy Systems.
676   $a621.317
702   $aKabzi?ski$b Jacek$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254353003321
996   $aAdvanced Control of Electrical Drives and Power Electronic Converters$92241027
997   $aUNINA