Imperial College London

Prof David Angeli

Faculty of EngineeringDepartment 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

@inproceedings{Dong:2019:10.1109/CDC.2018.8619325,
author = {Dong, Z and Angeli, D},
doi = {10.1109/CDC.2018.8619325},
pages = {4309--4314},
publisher = {IEEE},
title = {Tube-based robust Economic Model Predictive Control on dissipative systems with generalized optimal regimes of operation},
url = {http://dx.doi.org/10.1109/CDC.2018.8619325},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - This paper presents a tube-based robust economic MPC controller for discrete-time nonlinear systems that are perturbed by disturbance inputs. The proposed algorithm minimizes a modified economic objective function which considers the worst cost within a tube around the solution of the associated nominal system. Recursive feasibility and an a-priori upper bound to the closed-loop asymptotic average performance are ensured. Thanks to the use of dissipativity of the nominal system with a suitable supply rate, the closed-loop system under the proposed controller is shown to be asymptotically stable, in the sense that it is driven to an optimal robust invariant set. Finally, some illustrative examples, optimally operated at qualitatively different regimes, are addressed and the performances by using our new controller and those in the literature are compared.
AU - Dong,Z
AU - Angeli,D
DO - 10.1109/CDC.2018.8619325
EP - 4314
PB - IEEE
PY - 2019///
SN - 0743-1546
SP - 4309
TI - Tube-based robust Economic Model Predictive Control on dissipative systems with generalized optimal regimes of operation
UR - http://dx.doi.org/10.1109/CDC.2018.8619325
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000458114804002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/69052
ER -