Economic model predictive control : theory, formulations and chemical process applications

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational ef...

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Bibliographic Details
Main Authors: Ellis, Matthew (Chemical engineer), (Author), Liu, Jinfeng, 1982- (Author), Christofides, Panagiotis D., (Author)
Format: eBook
Language: English
Published: Switzerland : Springer, [2016]
Series: Advances in industrial control.
Subjects:
Predictive control.
elektronické knihy
electronic books
ISBN: 9783319411088
9783319411071
Physical Description: 1 online resource (xxiv, 292 pages) : illustrations (some color)

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Table of contents

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040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d YDXCP  |d GW5XE  |d N$T  |d IDEBK  |d OCLCF  |d TJC  |d UAB  |d IOG  |d ESU  |d Z5A  |d JBG  |d IAD  |d ICW  |d ICN  |d OTZ  |d OCLCQ  |d U3W  |d CAUOI  |d OCLCQ  |d KSU  |d UKMGB  |d AUD  |d UKAHL  |d OCLCQ 
020 |a 9783319411088  |q (electronic bk.) 
020 |z 9783319411071  |q (print) 
035 |a (OCoLC)954214336 
100 1 |a Ellis, Matthew  |c (Chemical engineer),  |e author. 
245 1 0 |a Economic model predictive control :  |b theory, formulations and chemical process applications /  |c Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides. 
264 1 |a Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xxiv, 292 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Advances in industrial control,  |x 1430-9491 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- Background on Nonlinear Systems, Control, and Optimization -- Brief Overview of EMPC Methods and some Preliminary Results -- Lyapunov-Based EMPC -- State Estimation and EMPC -- Two-Layer EMPC Systems -- EMPC Systems: Computational Efficiency and Real-Time Implementation. 
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 This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes. In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work makingEconomic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Predictive control. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Liu, Jinfeng,  |d 1982-  |e author. 
700 1 |a Christofides, Panagiotis D.,  |e author. 
830 0 |a Advances in industrial control. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-41108-8  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99235  |d 99235 
993 |x NEPOSILAT  |y EIZ 

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