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2020 – today
- 2022
[j5]Alexandre Kircher
, Laurent Bako, Eric Blanco, Mohamed Benallouch:
An Optimization Framework for Resilient Batch Estimation in Cyber-Physical Systems. IEEE Trans. Autom. Control. 67(10): 5246-5261 (2022)- 2020
- [c4]Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch, Anton Korniienko:
Analysis of resilience for a State Estimator for Linear Systems. ACC 2020: 1495-1500
2010 – 2019
- 2019
- [i2]Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
Resilient State Estimation for Discrete-Time Linear Systems. CoRR abs/1906.01630 (2019) - [i1]Alexandre Kircher, Laurent Bako, Eric Blanco, Mohamed Benallouch:
An optimization framework for resilient batch estimation in Cyber-Physical Systems. CoRR abs/1906.01714 (2019) - 2018
- [j4]Mohamed Benallouch, Rachid Outbib, Mohamed Boutayeb, Edouard Laroche:
Robust Observers for a Class of Nonlinear Systems Using PEM Fuel Cells as a Simulated Case Study. IEEE Trans. Control. Syst. Technol. 26(1): 291-298 (2018) - 2015
- [c3]Mohamed Benallouch, Mohamed Boutayeb, Hieu Trinh:
ℋ∞ observer-based control for discrete-time one-sided Lipschitz systems with unknown inputs. CDC 2015: 6998-7003 - 2014
- [j3]Mohamed Benallouch, Rachid Outbib:
Functional observer for linear parameter-varying systems with application to diagnosis of PEM fuel cell. Int. J. Control 87(4): 742-750 (2014) - [j2]Mohamed Benallouch, Mohamed Boutayeb, Hieu Trinh:
H∞ Observer-Based Control for Discrete-Time One-Sided Lipschitz Systems with Unknown Inputs. SIAM J. Control. Optim. 52(6): 3751-3775 (2014) - 2012
- [j1]Mohamed Benallouch, Mohamed Boutayeb, Michel Zasadzinski:
Observer design for one-sided Lipschitz discrete-time systems. Syst. Control. Lett. 61(9): 879-886 (2012)
2000 – 2009
- 2009
- [c2]Mohamed Benallouch, Rachid Outbib, Mohamed Boutayeb, Edouard Laroche:
A new scheme on robust unknown input nonlinear observer for PEM Fuel Cell Stack system. CCA/ISIC 2009: 613-618 - [c1]Mohamed Benallouch, Mohamed Boutayeb, Rachid Outbib, Edouard Laroche:
Unknown input estimation using reduced-order observers for a class of nonlinear systems. ECC 2009: 5057-5062
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