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Networked and Distributed Predictive Control

Methods and Nonlinear Process Network Applications

  • Panagiotis D. Christofides
  • Jinfeng Liu
  • David Muñoz de la Peña

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 1-12
  3. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 13-45
  4. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 47-98
  5. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 99-133
  6. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 135-192
  7. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 193-218
  8. Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
    Pages 219-220
  9. Back Matter
    Pages 221-230

About this book

Introduction

Networked and Distributed Predictive Control 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 to account 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 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 optimization methods and the book is intended for academic researchers and graduate students studying control as well as for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help researchers and engineers understand the application of the book’s methods in greater depth.

Keywords

Chemical Processes Control Applications Control Engineering Distibuted Predictive Control Networked Control Systems Nonlinear Systems Solar Energy Wind Energy

Authors and affiliations

  • Panagiotis D. Christofides
    • 1
  • Jinfeng Liu
    • 2
  • David Muñoz de la Peña
    • 3
  1. 1.Dept. of Chem. and Biomol. EngineeringUniversity of California, Los AngelesLos AngelesUSA
  2. 2.Dept. of Chem. and Biomol. EngineeringUniversity of California, Los AngelesLos AngelesUSA
  3. 3.Dept. de Ingeniería de Sistemas y Autom.Universidad de SevillaSevillaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-582-8
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-581-1
  • Online ISBN 978-0-85729-582-8
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site