Economic Model Predictive Control - Theory, Formulations and Chemical Process Applications (Hardcover, 1st ed. 2017)

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. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions 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 authors present 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 ideas.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Industrial Control
Release date:	August 2016
First published:	2017
Authors:	Matthew Ellis • Jinfeng Liu • Panagiotis D. Christofides
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	292
Edition:	1st ed. 2017
ISBN-13:	978-3-319-41107-1
Categories:	Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-319-41107-1
Barcode:	9783319411071

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