skip to content
MPC-based reference governors : theory and case studies Preview this item
ClosePreview this item
Checking...

MPC-based reference governors : theory and case studies

Author: Martin Klaučo; Michal Kvasnica
Publisher: Cham, Switzerland : Springer, [2019]
Series: Advances in industrial control.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Klaučo, Martin
MPC-Based Reference Governors : Theory and Case Studies
Cham : Springer,c2019
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin Klaučo; Michal Kvasnica
ISBN: 9783030174057 3030174050
OCLC Number: 1103221940
Notes: Includes index.
Description: 1 online resource
Contents: Reference Governors --
Part I: Theory --
Mathematical Preliminaries and General Optimization --
Model Predictive Control --
Inner Loops with PID Controllers --
Inner Loops with Relay-Based Controllers --
Inner Loops with LQ Controllers --
Inner Loops with Model Predictive Controllers --
Part II: Case Studies --
Boiler-Turbine System --
Magnetic-Levitation Process --
Thermostatically Controlled Indoor Temperature --
Cascade Model Predictive Control of Chemical Reactors --
Conclusions and Future Work.
Series Title: Advances in industrial control.
Other Titles: Model prredictive control based reference governors :
Responsibility: Martin Klaučo, Michal Kvasnica.

Abstract:

This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: PID lower-level controllers; linear quadratic regulators; relay-based controllers; and cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four applications are discussed in depth: control of a power generation unit; temperature control in buildings; stabilization of objects in a magnetic field; and vehicle convoy control. Each chapter includes precise mathematical formulations of the corresponding MPC-based governor, reformulation of the control problem into an optimization problem, and a detailed presentation and comparison of results. The case studies and practical considerations of constraints will help control engineers working in various industries in the use of MPC at the supervisory level. The detailed mathematical treatments will attract the attention of academic researchers interested in the applications of MPC.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(1)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1103221940> # MPC-based reference governors : theory and case studies
    a schema:Book, schema:CreativeWork, schema:MediaObject ;
    library:oclcnum "1103221940" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/sz> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/9139031687#Topic/predictive_control> ; # Predictive control
    schema:about <http://dewey.info/class/629.8/e23/> ;
    schema:alternateName "Model prredictive control based reference governors :" ;
    schema:author <http://experiment.worldcat.org/entity/work/data/9139031687#Person/klauco_martin> ; # Martin Klaučo
    schema:author <http://experiment.worldcat.org/entity/work/data/9139031687#Person/kvasnica_michal> ; # Michal Kvasnica
    schema:bookFormat schema:EBook ;
    schema:datePublished "2019" ;
    schema:description "Reference Governors -- Part I: Theory -- Mathematical Preliminaries and General Optimization -- Model Predictive Control -- Inner Loops with PID Controllers -- Inner Loops with Relay-Based Controllers -- Inner Loops with LQ Controllers -- Inner Loops with Model Predictive Controllers -- Part II: Case Studies -- Boiler-Turbine System -- Magnetic-Levitation Process -- Thermostatically Controlled Indoor Temperature -- Cascade Model Predictive Control of Chemical Reactors -- Conclusions and Future Work."@en ;
    schema:description "This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: PID lower-level controllers; linear quadratic regulators; relay-based controllers; and cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four applications are discussed in depth: control of a power generation unit; temperature control in buildings; stabilization of objects in a magnetic field; and vehicle convoy control. Each chapter includes precise mathematical formulations of the corresponding MPC-based governor, reformulation of the control problem into an optimization problem, and a detailed presentation and comparison of results. The case studies and practical considerations of constraints will help control engineers working in various industries in the use of MPC at the supervisory level. The detailed mathematical treatments will attract the attention of academic researchers interested in the applications of MPC."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/9139031687> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/9139031687#Series/advances_in_industrial_control> ; # Advances in industrial control.
    schema:isSimilarTo <http://worldcat.org/entity/work/data/9139031687#CreativeWork/mpc_based_reference_governors_theory_and_case_studies> ;
    schema:name "MPC-based reference governors : theory and case studies"@en ;
    schema:productID "1103221940" ;
    schema:url <http://public.eblib.com/choice/PublicFullRecord.aspx?p=5780038> ;
    schema:url <https://doi.org/10.1007/978-3-030-17405-7> ;
    schema:workExample <http://worldcat.org/isbn/9783030174057> ;
    schema:workExample <http://dx.doi.org/10.1007/978-3-030-17> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBB9C0192> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1103221940> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/9139031687#Person/klauco_martin> # Martin Klaučo
    a schema:Person ;
    schema:familyName "Klaučo" ;
    schema:givenName "Martin" ;
    schema:name "Martin Klaučo" ;
    .

<http://experiment.worldcat.org/entity/work/data/9139031687#Person/kvasnica_michal> # Michal Kvasnica
    a schema:Person ;
    schema:familyName "Kvasnica" ;
    schema:givenName "Michal" ;
    schema:name "Michal Kvasnica" ;
    .

<http://experiment.worldcat.org/entity/work/data/9139031687#Series/advances_in_industrial_control> # Advances in industrial control.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1103221940> ; # MPC-based reference governors : theory and case studies
    schema:name "Advances in industrial control." ;
    schema:name "Advances in industrial control" ;
    .

<http://experiment.worldcat.org/entity/work/data/9139031687#Topic/predictive_control> # Predictive control
    a schema:Intangible ;
    schema:name "Predictive control"@en ;
    .

<http://worldcat.org/entity/work/data/9139031687#CreativeWork/mpc_based_reference_governors_theory_and_case_studies>
    a schema:CreativeWork ;
    rdfs:label "MPC-Based Reference Governors : Theory and Case Studies" ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1103221940> ; # MPC-based reference governors : theory and case studies
    .

<http://worldcat.org/isbn/9783030174057>
    a schema:ProductModel ;
    schema:isbn "3030174050" ;
    schema:isbn "9783030174057" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.