LEADER 02233nam  2200517   450 
001 9910743354003321
005 20220926170609.0
010   $a981-16-8066-3
010   $a981-16-8065-5
010   $a981-16-8066-3
035   $a(MiAaPQ)EBC6885478
035   $a(Au-PeEL)EBL6885478
035   $a(CKB)21167787000041
035   $a(PPN)26083193X
035   $a(EXLCZ)9921167787000041
100   $a20220926d2022      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aModel predictive control for AC motors $erobustness and accuracy improvement techniques /$fedited by Yaofei Han, Chao Gong and Jinqiu Gao
210  1$aGateway East, Singapore :$cSpringer,$d[2022]
210  4$dİ2022
215   $a1 online resource (137 pages)
311 08$aPrint version: Han, Yaofei Model Predictive Control for AC Motors Singapore : Springer Singapore Pte. Limited,c2022 9789811680656 
320   $aIncludes bibliographical references and index.
327   $aModel Predictive Control Principles For AC Motors Robustness against Stator Parameter Mismatch Robustness against Rotor Parameter Mismatch Accuracy Improvement of Model Predictive Control
330   $aThis book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way.
606   $aElectric motors$xAutomatic control
606   $aAutomatic control
606   $aPredictive control
615  0$aElectric motors$xAutomatic control.
615  0$aAutomatic control.
615  0$aPredictive control.
676   $a629.8
702   $aGong$b Chao
702   $aHan$b Yaofei
702   $aGao$b Jinqiu
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910743354003321
996   $aModel predictive control for AC motors$93559294
997   $aUNINA