Plug-and-play monitoring and performance optimization for industrial automation processes

Dr.-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...

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Bibliographic Details
Main Author: Luo, Hao, (Author)
Format: eBook
Language: English
Published: Wiesbaden : Springer Vieweg, [2017]
Subjects:
ISBN: 9783658159283
9783658159276
Physical Description: 1 online resource (xvii, 149 pages)

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100 1 |a Luo, Hao,  |e author. 
245 1 0 |a Plug-and-play monitoring and performance optimization for industrial automation processes /  |c Hao Luo. 
264 1 |a Wiesbaden :  |b Springer Vieweg,  |c [2017] 
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300 |a 1 online resource (xvii, 149 pages) 
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506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Dr.-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. 
505 0 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Plug and play (Computer architecture) 
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