Robust $L_2$-gain feedforward control of uncertain systems using dynamic IQCs
I. Kose, und C. Scherer. Int. J. Robust Nonlin., 19 (11):
1224-1247(Juli 2009)
Zusammenfassung
We consider the problem of robust L(2)-gain disturbance feedforward control for uncertain systems described in the standard LFT form. We use integral quadratic constraints (IQCs) for describing the uncertainty blocks in the system. For technical reasons related to the feedforward problem, throughout the paper, we work with the duals of the constraints involved in robustness analysis using IQCs. We obtain a convex solution to the problem using a state-space characterization of nominal stability that we have developed recently. Specifically, our solution consists of LMI conditions for the existence of a feedforward controller that guarantees a given L(2)-gain for the closed-loop system. We demonstrate the effectiveness of using dynamic IQCs in robust feedforward design through a numerical example. Copyright (C) 2008 John Wiley & Sons, Ltd.
%0 Journal Article
%1 KosSch09a
%A Kose, I. E.
%A Scherer, C. W.
%D 2009
%J Int. J. Robust Nonlin.
%K quadratic control imng constraints uncertain integral systems from:carsten.scherer EXC310 pn4 peerReviewed feedforward
%N 11
%P 1224-1247
%T Robust $L_2$-gain feedforward control of uncertain systems using dynamic IQCs
%U https://doi.org/10.1002/rnc.1374
%V 19
%X We consider the problem of robust L(2)-gain disturbance feedforward control for uncertain systems described in the standard LFT form. We use integral quadratic constraints (IQCs) for describing the uncertainty blocks in the system. For technical reasons related to the feedforward problem, throughout the paper, we work with the duals of the constraints involved in robustness analysis using IQCs. We obtain a convex solution to the problem using a state-space characterization of nominal stability that we have developed recently. Specifically, our solution consists of LMI conditions for the existence of a feedforward controller that guarantees a given L(2)-gain for the closed-loop system. We demonstrate the effectiveness of using dynamic IQCs in robust feedforward design through a numerical example. Copyright (C) 2008 John Wiley & Sons, Ltd.
@article{KosSch09a,
abstract = {We consider the problem of robust L(2)-gain disturbance feedforward control for uncertain systems described in the standard LFT form. We use integral quadratic constraints (IQCs) for describing the uncertainty blocks in the system. For technical reasons related to the feedforward problem, throughout the paper, we work with the duals of the constraints involved in robustness analysis using IQCs. We obtain a convex solution to the problem using a state-space characterization of nominal stability that we have developed recently. Specifically, our solution consists of LMI conditions for the existence of a feedforward controller that guarantees a given L(2)-gain for the closed-loop system. We demonstrate the effectiveness of using dynamic IQCs in robust feedforward design through a numerical example. Copyright (C) 2008 John Wiley & Sons, Ltd.},
added-at = {2021-12-01T20:49:49.000+0100},
author = {Kose, I. E. and Scherer, C. W.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22bace7d849cb7df0a214c4c9400a9d14/mathematik},
endnotereftype = {Journal Article},
file = {<Go to ISI>://000267636600002},
interhash = {89f278d9dad4c78f153994958230fb15},
intrahash = {2bace7d849cb7df0a214c4c9400a9d14},
issn = {1049-8923},
journal = {Int. J. Robust Nonlin.},
keywords = {quadratic control imng constraints uncertain integral systems from:carsten.scherer EXC310 pn4 peerReviewed feedforward},
month = {Jul 25},
number = 11,
pages = {1224-1247},
shorttitle = {Robust L(2)-gain feedforward control of uncertain systems using dynamic IQCs},
timestamp = {2024-03-12T10:23:47.000+0100},
title = {{R}obust ${L}_2$-gain feedforward control of uncertain systems using dynamic {IQC}s},
url = {https://doi.org/10.1002/rnc.1374},
volume = 19,
year = 2009
}