Imperial College London
Alternate

Dr Imad M. Jaimoukha

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 6279i.jaimouka Website

 
 
//

Location

 

617Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Tahir:2015:10.1109/TAC.2014.2352692,
author = {Tahir, F and Jaimoukha, IM},
doi = {10.1109/TAC.2014.2352692},
journal = {IEEE Transactions on Automatic Control},
pages = {1416--1421},
title = {Low-complexity polytopic invariant sets for linear systems subject to norm-bounded uncertainty},
url = {http://dx.doi.org/10.1109/TAC.2014.2352692},
volume = {60},
year = {2015}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets, along with the corresponding state-feedback gain, for linear discrete-time systems subject to norm-bounded uncertainty, additive disturbances and state/input constraints. Using a slack variable approach, we propose new results to transform the original nonlinear problem into a convex/LMI problem whilst introducing only minor conservatism in the formulation. Through numerical examples, we illustrate that the proposed algorithm can yield improved maximal/minimal volume RCI set approximations in comparison with the schemes given in the literature.
AU  - Tahir,F
AU  - Jaimoukha,IM
DO  - 10.1109/TAC.2014.2352692
EP  - 1421
PY  - 2015///
SN  - 0018-9286
SP  - 1416
TI  - Low-complexity polytopic invariant sets for linear systems subject to norm-bounded uncertainty
T2  - IEEE Transactions on Automatic Control
UR  - http://dx.doi.org/10.1109/TAC.2014.2352692
UR  - https://ieeexplore.ieee.org/document/6887307
UR  - http://hdl.handle.net/10044/1/23328
VL  - 60
ER  -
Download