Model Predictive Control Theory (81 results)
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Taschenbuch. Condition: Neu. Real-Time Model Predictive Control via Multi-Parametric Programming | Theory and Tools | Michal Kvasnica | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639206449 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | An…bieter: preigu.
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Published by Springer 2021
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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Published by Springer 2022
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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paperback. Condition: New. Paperback.Pub Date:2022-04-01 Pages:180 Language:Chinese Publisher:Science Press In the control of constraint systems. invariant set properties and control laws in set theory. constraint satisfaction and Lyapunov functions are closely related to mathematics relation. Set theory and model predictive con…trol for constrained systems have become the focus of theoretical research. Robust Model Predictive Control for Constrained Uncertain Systems Based on Set Theory focuses on the performance. stab.
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Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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Paperback. Condition: Brand New. 2012 edition. 248 pages. 9.25x6.10x0.59 inches. In Stock.
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Taschenbuch. Condition: Neu. Explicit Nonlinear Model Predictive Control | Theory and Applications | Alexandra Grancharova (u. a.) | Taschenbuch | Lecture Notes in Control and Information Sciences | xiv | Englisch | 2012 | Springer | EAN 9783642287794 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for execu…ting a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.
Language: English
Published by Springer 2022
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 41 of 65. Book 41 of 65 - Communications and Control Engineering
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Published by Springer 2022
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
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Taschenbuch. Condition: Neu. Recent Advances in Model Predictive Control | Theory, Algorithms, and Applications | Timm Faulwasser (u. a.) | Taschenbuch | Lecture Notes in Control and Information Sciences | ix | Englisch | 2022 | Springer | EAN 9783030632830 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr…. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer 2018
Series: Communications and Control Engineering, Book 41 of 65. Book 41 of 65 - Communications and Control Engineering
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Taschenbuch. Condition: Neu. Nonlinear Model Predictive Control | Theory and Algorithms | Lars Grüne (u. a.) | Taschenbuch | Communications and Control Engineering | xiv | Englisch | 2018 | Springer | EAN 9783319834238 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for execu…ting a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.
Language: English
Published by Springer International Publishing 2022
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on distributed and economicModel Predictive Control (MPC)with applications in different fields.MPCis one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, pre…dict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here,distributedmeans that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility ortorecover system-wide optimal performance.The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role.The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
Language: English
Published by Springer 2021
Series: Lecture Notes in Control and Information Sciences, Book 1 of 40. Book 1 of 40 - Lecture Notes in Control and Information Sciences
- Hardcover
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Published by Springer International Publishing 2018
Series: Communications and Control Engineering, Book 41 of 65. Book 41 of 65 - Communications and Control Engineering
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- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on distributed and economicModel Predictive Control (MPC)with applications in different fields.MPCis one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict an…d optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here,distributedmeans that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility ortorecover system-wide optimal performance.The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role.The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
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