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The Resource Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource)
Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource)
Resource Information
The item Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discretetime and sampleddata systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinitehorizon optimal control so that important properties like closedloop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routinethe core of any nonlinear model predictive controllerworks. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. This book (second edition) has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a predefined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of largescale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is selfcontained, featuring background material on infinitehorizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics
 Language
 eng
 Edition
 2nd ed. 2017.
 Extent
 XIV, 456 p. 80 illus., 22 illus. in color.
 Contents

 Introduction
 DiscreteTime and SampledData Systems
 Nonlinear Model Predictive Control
 InfiniteHorizon Optimal Control
 Stability and Suboptimality Using Stabilizing Constraints
 Stability and Suboptimality Without Stabilizing Constraints
 Feasibility and Robustness
 Economic Nonlinear Model Predictive Control
 Distributed Nonlinear Model Predictive Control
 Variants and Extensions
 Numerical Discretization
 Numerical Optimal Control of Nonlinear Systems
 Appendix: NMPC Software Supporting This Book
 Isbn
 9783319460246
 Label
 Nonlinear Model Predictive Control : Theory and Algorithms
 Title
 Nonlinear Model Predictive Control
 Title remainder
 Theory and Algorithms
 Statement of responsibility
 by Lars Grüne, Jürgen Pannek
 Language
 eng
 Summary
 This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discretetime and sampleddata systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinitehorizon optimal control so that important properties like closedloop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routinethe core of any nonlinear model predictive controllerworks. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. This book (second edition) has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a predefined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of largescale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is selfcontained, featuring background material on infinitehorizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics
 http://library.link/vocab/creatorName
 Grüne, Lars
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

 Ds6CReAtNHc
 ArPzH2uEO1s
 Image bit depth
 0
 LC call number
 TJ212225
 Literary form
 non fiction
 http://library.link/vocab/relatedWorkOrContributorName
 Pannek, Jürgen.
 Series statement
 Communications and Control Engineering,
 http://library.link/vocab/subjectName

 Control engineering
 System theory
 Chemical engineering
 Automotive engineering
 Control and Systems Theory
 Systems Theory, Control
 Industrial Chemistry/Chemical Engineering
 Automotive Engineering
 Label
 Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource)
 Antecedent source
 mixed
 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  DiscreteTime and SampledData Systems  Nonlinear Model Predictive Control  InfiniteHorizon Optimal Control  Stability and Suboptimality Using Stabilizing Constraints  Stability and Suboptimality Without Stabilizing Constraints  Feasibility and Robustness  Economic Nonlinear Model Predictive Control  Distributed Nonlinear Model Predictive Control  Variants and Extensions  Numerical Discretization  Numerical Optimal Control of Nonlinear Systems  Appendix: NMPC Software Supporting This Book
 Dimensions
 unknown
 Edition
 2nd ed. 2017.
 Extent
 XIV, 456 p. 80 illus., 22 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783319460246
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319460246
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783319460246
 Label
 Nonlinear Model Predictive Control : Theory and Algorithms, by Lars Grüne, Jürgen Pannek, (electronic resource)
 Antecedent source
 mixed
 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  DiscreteTime and SampledData Systems  Nonlinear Model Predictive Control  InfiniteHorizon Optimal Control  Stability and Suboptimality Using Stabilizing Constraints  Stability and Suboptimality Without Stabilizing Constraints  Feasibility and Robustness  Economic Nonlinear Model Predictive Control  Distributed Nonlinear Model Predictive Control  Variants and Extensions  Numerical Discretization  Numerical Optimal Control of Nonlinear Systems  Appendix: NMPC Software Supporting This Book
 Dimensions
 unknown
 Edition
 2nd ed. 2017.
 Extent
 XIV, 456 p. 80 illus., 22 illus. in color.
 File format
 multiple file formats
 Form of item
 electronic
 Isbn
 9783319460246
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319460246
 Other physical details
 online resource.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (DEHe213)9783319460246
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