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ORCIDMadiha Nadri Wolf
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2020 – today
- 2024
[c23]Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf:
Space and time continuous physics simulation from partial observations. ICLR 2024- [c22]Johan Peralez, Madiha Nadri:
Deep model-free KKL observer: A switching approach. L4DC 2024: 929-940 - [i9]Laurent Bako, Madiha Nadri, Vincent Andrieu, Qinghua Zhang:
Proximal observers for secure state estimation. CoRR abs/2401.06098 (2024) - [i8]Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf:
Space and Time Continuous Physics Simulation From Partial Observations. CoRR abs/2401.09198 (2024) - 2023
- [c21]Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf:
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. ICLR 2023 - [i7]Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf:
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR abs/2302.10803 (2023) - 2022
- [c20]Steeven Janny, Quentin Possamaï, Laurent Bako, Christian Wolf, Madiha Nadri:
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach. CDC 2022: 150-155 - [c19]Johan Peralez, Madiha Nadri, Daniele Astolfi:
Neural Network-Based KKL observer for nonlinear discrete-time systems. CDC 2022: 2105-2110 - [c18]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR 2022 - [i6]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR abs/2202.00368 (2022) - [i5]Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf:
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements. CoRR abs/2202.00403 (2022) - [i4]Quentin Possamaï, Steeven Janny, Madiha Nadri, Laurent Bako, Christian Wolf:
Learning to estimate UAV created turbulence from scene structure observed by onboard cameras. CoRR abs/2203.14726 (2022) - [i3]Steeven Janny, Quentin Possamaï, Laurent Bako, Madiha Nadri, Christian Wolf:
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach. CoRR abs/2206.04791 (2022) - 2021
- [c17]Samuele Zoboli
, Vincent Andrieu, Daniele Astolfi, Giacomo Casadei, Jilles Steeve Dibangoye, Madiha Nadri:
Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems. CDC 2021: 2258-2263 - [c16]Johan Peralez, Madiha Nadri:
Deep Learning-based Luenberger observer design for discrete-time nonlinear systems. CDC 2021: 4370-4375 - [c15]Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf:
Deep KKL: Data-driven Output Prediction for Non-Linear Systems. CDC 2021: 4376-4381 - [c14]Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri:
Supervising the Transfer of Reasoning Patterns in VQA. NeurIPS 2021: 18256-18267 - [i2]Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf:
Deep KKL: Data-driven Output Prediction for Non-Linear Systems. CoRR abs/2103.12443 (2021) - [i1]Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri:
Supervising the Transfer of Reasoning Patterns in VQA. CoRR abs/2106.05597 (2021) - 2020
- [j11]Francisco González de Cossío, Madiha Nadri, Pascal Dufour:
Observer Design for Nonlinear Systems With Output Transformation. IEEE Trans. Autom. Control. 65(12): 5205-5219 (2020) - [c13]Johan Peralez, Francesco Galuppo, Pascal Dufour, Christian Wolf, Madiha Nadri:
Data-driven multi-model control for a waste heat recovery system. CDC 2020: 5501-5506
2010 – 2019
- 2019
- [c12]Francisco González de Cossío, Madiha Nadri, Pascal Dufour:
Observer design for nonlinear systems with sampled and transformed measurements. CDC 2019: 3441-3446 - 2018
- [j10]Johan Peralez, Vincent Andrieu, Madiha Nadri, Ulysse Serres:
Event-Triggered Output Feedback Stabilization via Dynamic High-Gain Scaling. IEEE Trans. Autom. Control. 63(8): 2537-2549 (2018) - [c11]Francisco González de Cossío, Madiha Nadri, Pascal Dufour:
Optimal observer design for disturbed state affine systems. ACC 2018: 2733-2738 - [c10]Francisco González de Cossío, Madiha Nadri, Pascal Dufour:
Observer Design for Nonlinear Systems with Implicit Output. CDC 2018: 2170-2175 - 2017
- [j9]Jun Qian, Madiha Nadri Wolf, Pascal Dufour:
Optimal input design for parameter estimation of nonlinear systems: case study of an unstable delta wing. Int. J. Control 90(4): 873-887 (2017) - [j8]Johan Peralez, Madiha Nadri, Pascal Dufour, Paolino Tona, Antonio Sciarretta:
Organic Rankine Cycle for Vehicles: Control Design and Experimental Results. IEEE Trans. Control. Syst. Technol. 25(3): 952-965 (2017) - 2015
- [j7]Vincent Andrieu, Madiha Nadri, Ulysse Serres, Jean-Claude Vivalda:
Self-triggered continuous-discrete observer with updated sampling period. Autom. 62: 106-113 (2015) - [j6]Thach Ngoc Dinh, Vincent Andrieu, Madiha Nadri Wolf, Ulysse Serres:
Continuous-Discrete Time Observer Design for Lipschitz Systems With Sampled Measurements. IEEE Trans. Autom. Control. 60(3): 787-792 (2015) - [c9]Vincent Grelet, Pascal Dufour, Madiha Nadri, Vincent Lemort, Thomas Reiche:
Explicit multi-model predictive control of a waste heat Rankine based system for heavy duty trucks. CDC 2015: 179-184 - 2014
- [c8]Johan Peralez, Madiha Nadri, Pascal Dufour, Paolino Tona, Antonio Sciarretta:
Control design for an automotive turbine Rankine Cycle system based on nonlinear state estimation. CDC 2014: 3316-3321 - [c7]Chouaib Afri, Madiha Nadri Wolf, Pascal Dufour:
Observer design for a ternary distillation column with side stream. CDC 2014: 6383-6388 - [c6]Jun Qian, Madiha Nadri, Petru-Daniel Morosan, Pascal Dufour:
Closed loop optimal experiment design for on-line parameter estimation. ECC 2014: 1813-1818 - 2013
- [j5]Hassan Hammouri, Madiha Nadri:
An observer design for a class of implicit systems. Syst. Control. Lett. 62(3): 256-261 (2013) - [j4]Madiha Nadri, Hassan Hammouri, Rafael Mota Grajales:
Observer Design for Uniformly Observable Systems With Sampled Measurements. IEEE Trans. Autom. Control. 58(3): 757-762 (2013) - [c5]Johan Peralez, Paolino Tona, Olivier Lepreux, Antonio Sciarretta, Luc Voise, Pascal Dufour, Madiha Nadri:
Improving the control performance of an Organic Rankine Cycle system for waste heat recovery from a heavy-duty diesel engine using a model-based approach. CDC 2013: 6830-6836 - 2012
- [j3]Mariem Sahnoun, Vincent Andrieu, Madiha Nadri:
Nonlinear and locally optimal controllers design for input affine locally controllable systems. Int. J. Control 85(2): 159-170 (2012) - [c4]Kun Zhang, Madiha Nadri, Cheng-Zhong Xu:
Feedback control and estimation of crystal size distribution in a cooling batch crystallizer based on reachability analysis. CDC 2012: 6382-6387 - 2010
- [c3]Kun Zhang, Madiha Nadri, Cheng-Zhong Xu:
Reachability analysis and control of crystal size distribution in batch crystallization processes. CDC 2010: 3295-3300 - [c2]Vincent Andrieu, Madiha Nadri:
Observer design for Lipschitz systems with discrete-time measurements. CDC 2010: 6522-6527
2000 – 2009
- 2006
- [c1]Hassan Hammouri, Madiha Nadri, Rafael Mota Grajales:
Constant gain observer for continuous-discrete time uniformly observable systems. CDC 2006: 5406-5411 - 2004
- [j2]Madiha Nadri, Hassan Hammouri, Carlos Manuel Astorga:
Observer Design for Continuous-Discrete Time State Affine Systems up to Output Injection. Eur. J. Control 10(3): 252-263 (2004) - 2003
- [j1]Madiha Nadri, Houbekeur Hammouri:
Design of a continuous-discrete observer for state affine systems. Appl. Math. Lett. 16(6): 967-974 (2003)
Coauthor Index
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