LEADER 04112nam  22007935  450 
001 9910984588303321
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010   $a9789819617777$b(electronic bk.)
010   $z9789819617760
024 7 $a10.1007/978-981-96-1777-7
035   $a(MiAaPQ)EBC31928865
035   $a(Au-PeEL)EBL31928865
035   $a(CKB)37744242100041
035   $a(OCoLC)1505734638
035   $a(DE-He213)978-981-96-1777-7
035   $a(EXLCZ)9937744242100041
100   $a20250302d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024) /$fedited by Qiang Chen, Tingli Su, Peng Liu, Weicun Zhang
205   $a1st ed. 2025.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025.
215   $a1 online resource (1017 pages)
225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1315
311 08$aPrint version: Chen, Qiang Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024) Singapore : Springer,c2025 9789819617760 
327   $aSystem Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.
330   $aThis book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.
410  0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1315
606   $aAutomatic control
606   $aComputational intelligence
606   $aRobotics
606   $aAutomation
606   $aArtificial intelligence
606   $aSystem theory
606   $aElectric power production
606   $aControl and Systems Theory
606   $aComputational Intelligence
606   $aControl, Robotics, Automation
606   $aArtificial Intelligence
606   $aComplex Systems
606   $aElectrical Power Engineering
615  0$aAutomatic control.
615  0$aComputational intelligence.
615  0$aRobotics.
615  0$aAutomation.
615  0$aArtificial intelligence.
615  0$aSystem theory.
615  0$aElectric power production.
615 14$aControl and Systems Theory.
615 24$aComputational Intelligence.
615 24$aControl, Robotics, Automation.
615 24$aArtificial Intelligence.
615 24$aComplex Systems.
615 24$aElectrical Power Engineering.
676   $a629.8312
676   $a003
700   $aChen$b Qiang$01790054
701   $aSu$b Tingli$01790055
701   $aLiu$b Peng$01271805
701   $aZhang$b Weicun$01077603
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910984588303321
996   $aProceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)$94326181
997   $aUNINA