| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
354007807 Buchausg. u.d.T.: ‡Christofides, Panagiotis D., 1970 - : Networked and distributed predictive control |
| ISBN |
978-0-85729-581-1 |
| Name |
Christofides, Panagiotis D. |
| Liu, Jinfeng |
| Name ANZEIGE DER KETTE |
Liu, Jinfeng |
| Name |
Muñoz de la Peña, David |
| T I T E L |
Networked and distributed predictive control |
| Zusatz zum Titel |
methods and nonlinear process network applications |
| Verlagsort |
London |
| Verlag |
Springer-Verlag London Limited |
| Erscheinungsjahr |
2011 |
| 2011 |
| Umfang |
Online-Ressource (XXVII, 230p. 86 illus., 65 illus. in color, digital) |
| Reihe |
Advances in Industrial Control |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Weiterer Inhalt |
Networked and Distributed Predictive Control; Series Editors' Foreword; Preface; Contents; Abbreviations; List of Figures; List of Tables; Chapter 1: Introduction; 1.1 Motivation; 1.2 Networked and Distributed Control Architectures; 1.2.1 Networked Control Architectures; 1.2.2 Cooperative, Distributed Control Architectures; 1.2.3 A Reactor-Separator Process Example; 1.3 Background; 1.4 Objectives and Organization of the Book; Chapter 2: Lyapunov-Based Model Predictive Control; 2.1 Introduction; 2.2 Notation; 2.3 System Description; 2.4 Lyapunov-Based Control; 2.5 Model Predictive Control. 2.6 Lyapunov-Based Model Predictive Control2.7 LMPC with Asynchronous Feedback; 2.7.1 Modeling of Data Losses/Asynchronous Measurements; 2.7.2 LMPC Formulation with Asynchronous Feedback; 2.7.3 Stability Properties; 2.7.4 Application to a Chemical Reactor; 2.8 LMPC with Delayed Measurements; 2.8.1 Modeling of Delayed Measurements; 2.8.2 LMPC Formulation with Measurement Delays; 2.8.3 Stability Properties; 2.8.4 Application to a Chemical Reactor; 2.9 Conclusions; Chapter 3: Networked Predictive Process Control; 3.1 Introduction; 3.2 System Description; 3.3 Modeling of Measurements. 3.4 Lower-Tier Controller3.5 Two-Tier Networked Control Architecture with Continuous/Asynchronous Measurements; 3.5.1 Upper-Tier Networked LMPC Formulation; 3.5.2 Stability Properties; 3.5.3 Application to a Chemical Reactor; 3.5.4 Application to a Reactor-Separator Process; 3.6 Two-Tier Networked Control Architecture with Continuous/Delayed Measurements; 3.6.1 Upper-Tier Networked LMPC Formulation; 3.6.2 Stability Properties; 3.6.3 Application to a Chemical Reactor; 3.6.4 Application to a Reactor-Separator Process; 3.7 Application to a Wind-Solar Energy Generation System. 3.7.1 Wind-Solar System Description3.7.2 Control Problem Formulation and Controller Design; 3.7.2.1 Wind Subsystem Controller Design; 3.7.2.2 Solar Subsystem Controller Design; 3.7.2.3 Supervisory Controller Design; 3.7.3 Simulation Results; 3.7.3.1 Constraints on the Maximum Increasing Rates of Pw,ref and Ps,ref; 3.7.3.2 Suppression of Battery Power Fluctuation; 3.7.3.3 Varying Environmental Conditions; 3.7.3.4 Consideration of High-Frequency Disturbance of Weather Conditions; 3.8 Conclusions; Chapter 4: Distributed Model Predictive Control: Two-Controller Cooperation; 4.1 Introduction. 4.2 System Description4.3 Lyapunov-Based Control; 4.4 DMPC with Synchronous Measurements; 4.4.1 DMPC Formulation; 4.4.2 Stability Properties; 4.4.3 Application to a Reactor-Separator Process; 4.5 DMPC with Asynchronous Measurements; 4.5.1 Modeling of Asynchronous Measurements; 4.5.2 DMPC Formulation; 4.5.3 Stability Properties; 4.5.4 Application to a Reactor-Separator Process; 4.6 DMPC with Delayed Measurements; 4.6.1 Modeling of Delayed Measurements; 4.6.2 DMPC Formulation; 4.6.3 Stability Properties; 4.6.4 Application to a Reactor-Separator Process; 4.7 Conclusions. Chapter 5: Distributed Model Predictive Control: Multiple-Controller Cooperation |
| Titelhinweis |
Buchausg. u.d.T.: ‡Christofides, Panagiotis D., 1970 - : Networked and distributed predictive control |
| ISBN |
ISBN 978-0-85729-582-8 |
| Klassifikation |
TJFM |
| TEC004000 |
| *93-02 |
| 93C83 |
| 93B40 |
| 68M14 |
| 629.8 |
| 005.758 |
| TJ212-225 |
| ZQ 5390 |
| Kurzbeschreibung |
Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: - new techniques for networked and distributed control system design, - insight into issues associated with networked and distributed predictive control and their solution, - detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems, and - integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book's methods in greater depth. |
| 1. Schlagwortkette |
Prädiktive Regelung |
| Ljapunov-Funktion |
| Prozessregelung |
| 1. Schlagwortkette ANZEIGE DER KETTE |
Prädiktive Regelung -- Ljapunov-Funktion -- Prozessregelung |
| 2. Schlagwortkette |
Prädiktive Regelung |
| Ljapunov-Funktion |
| Prozessregelung |
| ANZEIGE DER KETTE |
Prädiktive Regelung -- Ljapunov-Funktion -- Prozessregelung |
| SWB-Titel-Idn |
343196565 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-0-85729-582-8 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Inhaltsverzeichnis |
| Siehe auch |
Einführung/Vorwort |
| Siehe auch |
Inhaltstext |
