Economic Model Predictive Control: Theory, Formulations And Chemical Process Applications (advances In Industrial Control)
by Panagiotis D. Christofides /
2016 / English / PDF
8.8 MB Download
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:
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;
Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly
computationally efficient; and
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.
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 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 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
The authors present a rich collection of new research topics
and references to significant recent work makingEconomic Model
Predictive Control
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.
an important source of information and
inspiration for academics and graduate students researching the
area and for process engineers interested in applying its ideas.
