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An economic model predictive control scheme with terminal penalty for continuous-time systems

Authors: Andrea Alessandretti; A. Pedro Aguiar; Colin N. Jones;

An economic model predictive control scheme with terminal penalty for continuous-time systems

Abstract

In this paper, convergence and performance properties of a sample-data continuous time model predictive control (MPC) scheme with economic performance index are developed. In particular, we provide sufficient conditions for convergence of the close loop state trajectory to a steady state and constructive methods to design a terminal set and a terminal cost to satisfy them. Further, considering an average performance index, sufficient conditions under which the system in closed loop with the MPC controller outperforms the system operated at the economically optimal steady state are derived for the case of convergent and non convergent behaviors. Two numerical examples are presented to illustrate the different design techniques.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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