The Resource Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications, by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides, (electronic resource)

Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications, by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides, (electronic resource)

Label
Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications
Title
Economic Model Predictive Control
Title remainder
Theory, Formulations and Chemical Process Applications
Statement of responsibility
by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Creator
Contributor
Author
Author
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Ellis, Matthew
Dewey number
629.8
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • uOmE56WsQyo
  • ipfYqiJ54Lo
  • mgvpw6ylyZE
Image bit depth
0
LC call number
TJ212-225
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Liu, Jinfeng.
  • Christofides, Panagiotis D.
Series statement
Advances in Industrial Control,
http://library.link/vocab/subjectName
  • Chemical engineering
  • Production management
  • Control and Systems Theory
  • Industrial Chemistry/Chemical Engineering
  • Production
Label
Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications, by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2017.
Extent
1 online resource (XXIV, 292 p. 95 illus., 16 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783319411088
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-41108-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000765092
  • (DE-He213)978-3-319-41108-8
  • (MiAaPQ)EBC4614746
  • (EXLCZ)993710000000765092
Label
Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications, by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
1st ed. 2017.
Extent
1 online resource (XXIV, 292 p. 95 illus., 16 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783319411088
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-41108-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000765092
  • (DE-He213)978-3-319-41108-8
  • (MiAaPQ)EBC4614746
  • (EXLCZ)993710000000765092

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