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- 2011926420 abstract "Presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. 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; integrated exposition of novel research topics and rich resource of references to significant recent work. The text 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-- Source other than Library of Congress.".
- 2011926420 contributor B12415956.
- 2011926420 created "2011.".
- 2011926420 date "2011".
- 2011926420 date "2011.".
- 2011926420 dateCopyrighted "2011.".
- 2011926420 description "Includes bibliographical references and index.".
- 2011926420 description "Presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. 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; integrated exposition of novel research topics and rich resource of references to significant recent work. The text 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-- Source other than Library of Congress.".
- 2011926420 extent "228 p.:".
- 2011926420 identifier "0857295810 (hdbk. : acid-free paper)".
- 2011926420 identifier "9780857295811 (hdbk. : acid-free paper)".
- 2011926420 identifier 978-0-85729-582-8.
- 2011926420 isPartOf "Advances in industrial control".
- 2011926420 isPartOf "Advances in industrial control.".
- 2011926420 issued "2011".
- 2011926420 issued "2011.".
- 2011926420 language "eng".
- 2011926420 publisher "New York : Springer,".
- 2011926420 subject "Lyapunov functions.".
- 2011926420 subject "Nonlinear control theory.".
- 2011926420 subject "Predictive control.".
- 2011926420 subject "TJ217.6 .N48 2011".
- 2011926420 title "Networked and distributed predictive control : methods and nonlinear process network applications / Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña.".
- 2011926420 type "text".