Madiha Nadri

Orcid: 0000-0002-9705-6101

According to our database1, Madiha Nadri authored at least 21 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Deep model-free KKL observer: A switching approach.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Network-Based KKL observer for nonlinear discrete-time systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Supervising the Transfer of Reasoning Patterns in VQA.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Deep Learning-based Luenberger observer design for discrete-time nonlinear systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Deep KKL: Data-driven Output Prediction for Non-Linear Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Data-driven multi-model control for a waste heat recovery system.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Observer design for nonlinear systems with sampled and transformed measurements.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Observer Design for Nonlinear Systems with Implicit Output.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal observer design for disturbed state affine systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2015
Explicit multi-model predictive control of a waste heat Rankine based system for heavy duty trucks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Closed loop optimal experiment design for on-line parameter estimation.
Proceedings of the 13th European Control Conference, 2014

Control design for an automotive turbine Rankine Cycle system based on nonlinear state estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
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.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Feedback control and estimation of crystal size distribution in a cooling batch crystallizer based on reachability analysis.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2010
Reachability analysis and control of crystal size distribution in batch crystallization processes.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Observer design for Lipschitz systems with discrete-time measurements.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2006
Constant gain observer for continuous-discrete time uniformly observable systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006


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