E-LIB Suche - Ergebnisse für: Allgöwer, F

1

On the relationship between cell cycle analysis with ergodi..:

Kuritz, K. ; Stöhr, D. ; Pollak, N..
Journal of Theoretical Biology. 414 (2017) - p. 91-102 , 2017

Link: https://doi.org/10.1016/..

2

Resource-aware set-valued estimation for discrete-time line..:

, In: 2015 54th IEEE Conference on Decision and Control (CDC),

Brunner, F. D. ; Gommans, T. M. P. ; Heemels, W. P. M. H.. - p. 5480-5486 , 2015

Link: https://doi.org/10.1109/..

3

Design of biomolecular network modifications to achieve ada..:

Waldherr, S. ; Allgöwer, F. ; Streif, S.
IET Systems Biology. 6 (2012) 6 - p. 223-231 , 2012

Link: https://doi.org/10.1049/..

4

Finite horizon model predictive control with ellipsoid mapp..:

Yu, S. ; Böhm, C. ; Allgöwer, F..
IET Control Theory & Applications. 6 (2012) 18 - p. 2820-2828 , 2012

Link: https://doi.org/10.1049/..

5

Analysis and Simulation of Division- and Label-Structured P..:

Hasenauer, J. ; Schittler, D. ; Allgöwer, F.
Bulletin of Mathematical Biology. , 2012

Link: https://doi.org/10.1007/..

6

Death wins against life in a spatially extended model of th..:

Daub, M. ; Waldherr, S. ; Allgöwer, F...
Biosystems. 108 (2012) 1-3 - p. 45-51 , 2012

Link: https://doi.org/10.1016/..

7

L2-Gain-based controller design for linear systems with dis..:

Goebel, G. ; Munz, U. ; Allgower, F.
IMA Journal of Mathematical Control and Information. 28 (2011) 2 - p. 225-237 , 2011

Link: https://doi.org/10.1093/..

8

Steady‐state robustness of qualitative gene regulation netw..:

Breindl, C. ; Waldherr, S. ; Wittmann, D. M...
International Journal of Robust and Nonlinear Control. 21 (2011) 15 - p. 1742-1758 , 2011

Link: https://doi.org/10.1002/..

9

A maximum likelihood estimator for parameter distributions ..:

Hasenauer, J. ; Waldherr, S. ; Radde, N....
Procedia Computer Science. 1 (2010) 1 - p. 1655-1663 , 2010

Link: https://doi.org/10.1016/..

10

Guaranteed steady state bounds for uncertain (bio-)chemical..:

Hasenauer, J. ; Rumschinski, P. ; Waldherr, S....
Journal of Process Control. 20 (2010) 9 - p. 1076-1083 , 2010

Link: https://doi.org/10.1016/..

11

Model predictive control of constrained non-linear time-del..:

Reble, M. ; Esfanjani, R. M. ; Nikravesh, S. K. Y..
IMA Journal of Mathematical Control and Information. 28 (2010) 2 - p. 183-201 , 2010

Link: https://doi.org/10.1093/..

12

Parameter identification, experimental design and model fal..:

Hasenauer, J. ; Allgöwer, F. ; Waldherr, S..
IET Systems Biology. 4 (2010) 2 - p. 119-130 , 2010

Link: https://doi.org/10.1049/..

13

Robust output feedback model predictive control of constrai..:

Mayne, D.Q. ; Raković, S.V. ; Findeisen, R..
Automatica. 45 (2009) 9 - p. 2082-2087 , 2009

Link: https://doi.org/10.1016/..

14

Robustℓ1performance analysis for linear systems with parame..:

Rieber, J. M. ; Scherer, C. W. ; Allgöwer, F.
International Journal of Control. 81 (2008) 5 - p. 851-864 , 2008

Link: https://doi.org/10.1080/..

15

A robustness approach to linear control of mildly nonlinear..:

Schweickhardt, T. ; Allgöwer, F.
International Journal of Robust and Nonlinear Control. 17 (2007) 13 - p. 1163-1182 , 2007

Link: https://doi.org/10.1002/..