Economic Model Predictive Control

Theory, Formulations and Chemical Process Applications

Nonfiction, Science & Nature, Technology, Automation, Science, Chemistry, Technical & Industrial
Cover of the book Economic Model Predictive Control by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides ISBN: 9783319411088
Publisher: Springer International Publishing Publication: July 27, 2016
Imprint: Springer Language: English
Author: Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
ISBN: 9783319411088
Publisher: Springer International Publishing
Publication: July 27, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from Springer International Publishing

Cover of the book Urban Hydrology, Watershed Management and Socio-Economic Aspects by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Shell and Membrane Theories in Mechanics and Biology by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book The Fundamentals of Human Factors Design for Volunteered Geographic Information by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Girls Who Like Boys Who Like Boys by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Reliability and Availability of Quality Control Based on Wavelet Computer Vision by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Topics in Banach Space Theory by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Foreign Direct Investment in Central and Eastern Europe by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Advances in Physical Ergonomics and Human Factors by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Business Information Systems Workshops by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Radio Frequency Integrated Circuit Design for Cognitive Radio Systems by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Progress in Hybrid RANS-LES Modelling by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Applied Statistics in Biomedicine and Clinical Trials Design by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Cultivating Mindfulness in Clinical Social Work by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Inclusive Mathematics Education by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
Cover of the book Teacher Professional Learning in International Education by Matthew Ellis, Jinfeng Liu, Panagiotis D. Christofides
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy