1 Networked and Distributed Predictive Control -...
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1 Panagiotis D. Christofides Jinfeng Liu David Muñoz de la Peña Networked and Distributed Predictive Control Networked and Distributed Predictive Control Advances in Industrial Control Christofides · Liu · Muñoz de la Peña Methods and Nonlinear Process Network Applications Advances in Industrial Control Panagiotis D. Christofides · Jinfeng Liu · David Muñoz de la Peña Networked and Distributed Predictive Control Methods and Nonlinear Process Network Applications Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. e design of model predictive control systems using Lyapunov-based techniques to account for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. is 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 improve closed-loop performance. e text then shiſts focus to the design of distributed predictive control systems that cooperate efficiently in comput- ing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but utilize 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 problems; • 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 optimiza- tion methods and the book is intended for academic researchers and graduate students studying control as well as for process control engineers. e constant attention to prac- tical matters associated with implementation of the theory discussed will help research- ers and engineers understand the application of the book’s methods in greater depth. Advances in Industrial Control aims to report and encourage the transfer of technol- ogy in control engineering. e rapid development of control technology has an impact on all areas of the control discipline. e series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Engineering 9 780857 295811 ISBN 978-0-85729-581-1
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Transcript of 1 Networked and Distributed Predictive Control -...
1
Panagiotis D. Christofi desJinfeng LiuDavid Muñoz de la Peña
Networkedand Distributed Predictive Control
Netw
orked and Distributed Predictive Control
Advances in Industrial ControlChristofides · Liu · Muñoz de la Peña
Methods and Nonlinear Process Network Applications
Advances in Industrial Control
Panagiotis D. Christofi des · Jinfeng Liu · David Muñoz de la Peña
Networked and Distributed Predictive ControlMethods and Nonlinear Process Network Applications
Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. Th e design of model predictive control systems using Lyapunov-based techniques to account for the infl uence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. Th is 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 signifi cantly improve closed-loop performance. Th e text then shift s focus to the design of distributed predictive control systems that cooperate effi ciently in comput-ing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifi cations but utilize 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
problems;• 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
signifi cant recent work.
A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of diff erential equations, linear and nonlinear control theory and optimiza-tion methods and the book is intended for academic researchers and graduate students studying control as well as for process control engineers. Th e constant attention to prac-tical matters associated with implementation of the theory discussed will help research-ers and engineers understand the application of the book’s methods in greater depth.
Advances in Industrial Control aims to report and encourage the transfer of technol-ogy in control engineering. Th e rapid development of control technology has an impact on all areas of the control discipline. Th e series off ers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Engineering
9 7 8 0 8 5 7 2 9 5 8 1 1
ISBN 978-0-85729-581-1
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