Networked and Distributed Predictive Control: Methods and Nonlinear 
Process Network Applications

Panagiotis D. Christofides
Jinfeng Liu
David Muñoz de la Peña

----------------------------------------------------------------------

Springer
Series: Advances in Industrial Control
230 p. 86 illus., 65 in color., Hardcover
ISBN 978-0-85729-581-1
http://www.springer.com/engineering/control/book/978-0-85729-581-1
-----------------------------------------------------------------------



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.

Advances in Industrial Control aims to report and encourage the transfer 
of technology in control engineering. The rapid development of control 
technology has an impact on all areas of the control discipline. The 
series offers an opportunity for researchers to present an extended 
exposition of new work in all aspects of industrial control.


Content Level » Research

Keywords » Chemical Processes - Control Applications - Control 
Engineering - Distributed Predictive Control - Networked Control Systems - 
Nonlinear Systems - Solar Energy - Wind Energy

Related subjects » Applications - Chemistry - Communication Networks - 
Control Engineering - Renewable and Green Energy