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Titlebook: MPC-Based Reference Governors; Theory and Case Stud Martin Klaučo,Michal Kvasnica Book 2019 Springer Nature Switzerland AG 2019 Reference G

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书目名称MPC-Based Reference Governors
副标题Theory and Case Stud
编辑Martin Klaučo,Michal Kvasnica
视频video
概述Shows how model predictive control can easily be implemented in industrial reference governors.Equips the practising control engineer with means of significantly improving performance of process opera
丛书名称Advances in Industrial Control
图书封面Titlebook: MPC-Based Reference Governors; Theory and Case Stud Martin Klaučo,Michal Kvasnica Book 2019 Springer Nature Switzerland AG 2019 Reference G
描述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 application
出版日期Book 2019
关键词Reference Governors; Constraint Handling; Predictive Reference Governors; Command Governors; Extended Co
版次1
doihttps://doi.org/10.1007/978-3-030-17405-7
isbn_softcover978-3-030-17407-1
isbn_ebook978-3-030-17405-7Series ISSN 1430-9491 Series E-ISSN 2193-1577
issn_series 1430-9491
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Martin Klaučo,Michal KvasnicaShows how model predictive control can easily be implemented in industrial reference governors.Equips the practising control engineer with means of significantly improving performance of process opera
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Advances in Industrial Controlhttp://image.papertrans.cn/m/image/620209.jpg
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Mathematical Preliminaries and General Optimizationare later used in this book—the linear programming, the quadratic programming, and mixed-integer programming. Next, we elaborate on the solution techniques, including online optimization and parametric optimization. Both of them are very popular in the optimal control community.
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