Imperial College London
Portrait Picture

Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mueller:2014:10.1016/j.automatica.2014.10.024,
author = {Mueller, MA and Angeli, D and Allgoewer, F},
doi = {10.1016/j.automatica.2014.10.024},
journal = {Automatica},
pages = {2943--2950},
title = {Transient average constraints in economic model predictive control},
url = {http://dx.doi.org/10.1016/j.automatica.2014.10.024},
volume = {50},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In this paper, an economic model predictive control algorithm is proposed which ensures satisfaction of transient average constraints, i.e., constraints on input and state variables averaged over some finite time period. We believe that this stricter form of average constraints (compared to previously proposed asymptotic average constraints) is of independent interest in various applications such as the operation of a chemical reactor, where e.g. the amount of inflow or the heat flux during some fixed period of time must not exceed a certain value. Besides guaranteeing fulfillment of transient average constraints for the closed-loop system, we show that closed-loop average performance bounds and convergence results established in the setting of asymptotic average constraints also hold in case of transient average constraints. Furthermore, we illustrate our results with a chemical reactor example.
AU  - Mueller,MA
AU  - Angeli,D
AU  - Allgoewer,F
DO  - 10.1016/j.automatica.2014.10.024
EP  - 2950
PY  - 2014///
SN  - 1873-2836
SP  - 2943
TI  - Transient average constraints in economic model predictive control
T2  - Automatica
UR  - http://dx.doi.org/10.1016/j.automatica.2014.10.024
UR  - http://hdl.handle.net/10044/1/26756
VL  - 50
ER  -
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