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Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications by Panagiotis D. Christofides, Jinfeng Liu, Matthew Ellis (Hardcover, 2016)

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Product Information

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.

Product Identifiers

Publisher
Springer International Publishing Ag
ISBN-13
9783319411071
eBay Product ID (ePID)
223650002

Product Key Features

Subject Area
Mechanical Engineering, Chemical Engineering
Author
Panagiotis D. Christofides, Jinfeng Liu, Matthew Ellis
Publication Name
Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications
Format
Hardcover
Language
English
Subject
Management
Publication Year
2016
Type
Textbook
Number of Pages
292 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
6547g

Additional Product Features

Title_Author
Jinfeng Liu, Matthew Ellis, Panagiotis D. Christofides
Series Title
Advances in Industrial Control
Country/Region of Manufacture
Switzerland

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Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications by Panagiotis D. Christofides, Jinfeng Liu, Matthew Ellis (Hardcover, 2016)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Maps of Meaning: The Architecture of Belief by Jordan B. Peterson (1999, Paperback)

Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism by Deirdre Cleary, Andrew Barron, Joy White, Patrick Harrison (Paperback, 2017)

Silent Spring by Rachel Carson (Paperback, 2000)

Understanding and Treating Chronic Shame: Healing Right Brain Relational Trauma by Patricia A. DeYoung (Paperback, 2021)

Time Management by Peter Quarry (Paperback, 1986)

Save on Adult Learning & University

The Australian Native Bee Hive Book: Keeping Stingless Sugarbag OATH Tim Heard

Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by A

Netter Atlas of Human Anatomy: Classic Regional Approach

George Hrabovsky Leonard Susskind Classical Mechanics (Paperback)

Havard's Nursing Guide to Drugs

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