Cargando…

Multivariable predictive control : applications in industry /

A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) ap...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lahiri, Sandip Kumar, 1970- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ, USA : John Wiley & Sons Ltd, 2017.
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBOOKCENTRAL_ocn976036412
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |||||||||||
008 170314t20172017njua ob 001 0 eng
010 |a  2017012540 
040 |a DLC  |b eng  |e rda  |e pn  |c DLC  |d OCLCO  |d OCLCQ  |d OCLCF  |d OCLCQ  |d N$T  |d YDX  |d IDEBK  |d DG1  |d YDX  |d UIU  |d EBLCP  |d RECBK  |d NRC  |d DEBSZ  |d TEFOD  |d CNCGM  |d UPM  |d MERER  |d OCLCQ  |d KSU  |d WYU  |d U3W  |d OCLCQ  |d AU@  |d UKAHL  |d OCLCQ  |d UKMGB  |d OCLCQ  |d UX1  |d VT2  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL 
015 |a GBB7C0400  |2 bnb 
016 7 |a 018420848  |2 Uk 
019 |a 1058955278  |a 1124435770  |a 1228603283  |a 1244440623  |a 1249218139 
020 |a 9781119243434  |q (electronic bk.) 
020 |a 1119243432  |q (electronic bk.) 
020 |a 9781119243519  |q (electronic bk.) 
020 |a 1119243513  |q (electronic bk.) 
020 |a 9781119243595  |q (electronic bk.) 
020 |a 1119243599  |q (electronic bk.) 
020 |z 1119243599 
020 |z 9781119243601  |q (hardcover) 
020 |a 1119243602 
020 |a 9781119243601 
029 1 |a AU@  |b 000059719772 
029 1 |a CHBIS  |b 011150664 
029 1 |a CHNEW  |b 000969166 
029 1 |a CHVBK  |b 499165772 
029 1 |a DEBSZ  |b 494213310 
029 1 |a GBVCP  |b 1014965845 
029 1 |a UKMGB  |b 018420848 
035 |a (OCoLC)976036412  |z (OCoLC)1058955278  |z (OCoLC)1124435770  |z (OCoLC)1228603283  |z (OCoLC)1244440623  |z (OCoLC)1249218139 
037 |a 3A0BF573-67C4-49E7-9025-4D0DB9DDB304  |b OverDrive, Inc.  |n http://www.overdrive.com 
042 |a pcc 
050 1 4 |a TJ217.6  |b .L34 2017 
072 7 |a TEC  |x 009000  |2 bisacsh 
082 0 0 |a 629.8  |2 23 
049 |a UAMI 
100 1 |a Lahiri, Sandip Kumar,  |d 1970-  |e author. 
245 1 0 |a Multivariable predictive control :  |b applications in industry /  |c Sandip Kumar Lahiri. 
250 |a First edition. 
264 1 |a Hoboken, NJ, USA :  |b John Wiley & Sons Ltd,  |c 2017. 
264 4 |c ©2017 
300 |a 1 online resource (xxxiii, 267 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Introduction of Model Predictive Control -- Theoretical Base of MPC -- Historical Development of Different MPC Technology -- MPC Implementation Steps -- Cost-Benefit Analysis of MPC before Implementation -- Assessment of Regulatory Base Control Layer in Plants -- Functional Design of MPC Controllers -- Preliminary Process Test and Step Test -- Model Building and System Identification -- Soft Sensors -- Offline Simulation -- Online Deployment of MPC Application in Real Plants -- Online Controller Tuning -- Why Do Some MPC Applications Fail? -- MPC Performance Monitoring -- Commercial MPC Vendors and Applications. 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from digital title page (viewed on August 30, 2017). 
520 |a A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operations on an ongoing basis. Companies, worldwide, across a range of industries are successfully using MPC systems to optimise materials and utility consumption, reduce waste, minimise pollution, and maximise production. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors' reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature.-Provides a cost-benefit analysis of typical MPC projects and reviews commercially available MPC software packages -Details software implementation steps, as well as techniques for successfully evaluating and monitoring software performance once it has been installed -Features case studies and real-world examples from industries, worldwide, illustrating the advantages and common pitfalls of MPC systems -Describes MPC application failures in an array of companies, exposes the root causes of those failures, and offers proven safeguards and corrective measures for avoiding similar failures Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Predictive control. 
650 0 |a Multivariate analysis. 
650 2 |a Multivariate Analysis 
650 6 |a Commande prédictive. 
650 6 |a Analyse multivariée. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Engineering (General)  |2 bisacsh 
650 7 |a Multivariate analysis  |2 fast 
650 7 |a Predictive control  |2 fast 
758 |i has work:  |a Multivariable predictive control (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGBqxvKV8K7QRmcVmc6D4q  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Lahiri, Sandip Kumar, 1970-  |t Multivariable predictive control.  |b First edition.  |d Hoboken, NJ, USA : Wiley, 2017  |z 9781119243601  |w (DLC) 2017010553 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4983703  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH32559787 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL4983703 
938 |a EBSCOhost  |b EBSC  |n 1577383 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis37728574 
938 |a Recorded Books, LLC  |b RECE  |n rbeEB00711613 
938 |a YBP Library Services  |b YANK  |n 14776292 
938 |a YBP Library Services  |b YANK  |n 14754967 
994 |a 92  |b IZTAP