In this section
@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}
}
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 -