CAST10 Archives

July 2016


Options: Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
"Panagiotis_D._Christofides" <[log in to unmask]>
Reply To:
Fri, 29 Jul 2016 12:11:26 -0400
text/plain (58 lines)
Economic Model Predictive Control: Theory, Formulations and Chemical 
Process Applications

Matthew Ellis, Jinfeng Liu and Panagiotis D. Christofides


Springer, Advances in Industrial Control Series
ISBN 978-3-319-41108-8

Book Description:

This book presents general methods for the design of economic model
predictive control (EMPC) systems for broad classes of nonlinear systems
that address key theoretical and practical considerations including
recursive feasibility, closed-loop stability, closed-loop performance,
and computational efficiency. Specifically, the book proposes: Lyapunov-
based EMPC methods for nonlinear systems; two-tier EMPC architectures
that are highly computationally efficient; and EMPC schemes handling
explicitly uncertainty, time-varying cost functions, time-delays and
multiple-time-scale dynamics.

The proposed methods employ a variety of tools ranging from nonlinear
systems analysis, through Lyapunov-based control techniques to nonlinear
dynamic optimization. The applicability and performance of the proposed
methods are demonstrated through a number of chemical process examples.
In addition to being mathematically rigorous, these methods accommodate
key practical issues, for example, direct optimization of process
economics, and computational efficiency. Numerous comments and remarks
providing fundamental understanding of the merging of process economics
and feedback control into a single framework are included. A control
engineer can easily tailor the many detailed examples of industrial
relevance given within the text to a specific application.

The book presents a rich collection of new research topics and
references to significant recent work making Economic Model Predictive
Control an important source of information and inspiration for academics
and graduate students researching the area and for process engineers
interested in applying its methods.


Panagiotis D. Christofides
Professor and Chair of Chemical and Biomolecular Engineering
Professor of Electrical Engineering
University of California, Los Angeles
Boelter Hall 5532-F
Los Angeles, CA 90095-1592