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Mayank Shekhar Jha
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2020 – today
- 2025
- [j5]Mayank Shekhar Jha
, Bahare Kiumarsi:
Off-policy safe reinforcement learning for nonlinear discrete-time systems. Neurocomputing 611: 128677 (2025) - 2024
- [j4]Soha Kanso, Mayank Shekhar Jha, Didier Theilliol:
Degradation tolerant optimal control design for stochastic linear systems. Int. J. Appl. Math. Comput. Sci. 34(1) (2024) - [j3]Martin Hervé de Beaulieu
Remaining Useful Life prediction based on physics-informed data augmentation. Reliab. Eng. Syst. Saf. 252: 110451 (2024) - [c10]Mayank Shekhar Jha, Bahare Kiumarsi, Didier Theilliol:
Safe Reinforcement Learning Based on Off-Policy Approach for Nonlinear Discrete-Time Systems. ACC 2024: 1574-1579 - [c9]Damiano Rotondo, Mayank Shekhar Jha:
A Weighted Linearization Approach to Gradient Descent Optimization. ECC 2024: 3606-3611 - 2023
- [c8]Mayank Shekhar Jha, Hugues Garnier, Didier Theilliol:
Redundancy-Aware Physics Informed Neural Networks (R-PINNs) Based Learning of Nonlinear Algebraic Systems with Non-Measurable States. CDC 2023: 5514-5519 - [c7]Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz:
Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. IECON 2023: 1-7 - [c6]Khoury Boutrous, Julien Thuillier, Mayank Shekhar Jha, Vicenç Puig, Didier Theilliol:
Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction. MED 2023: 25-30 - [i3]Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz:
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. CoRR abs/2308.03664 (2023) - [i2]Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Paul Lukowicz:
Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks. CoRR abs/2310.18924 (2023) - 2022
- [c5]Soha Kanso, Mayank Shekhar Jha, Didier Theilliol:
Degradation Tolerant Optimal Control Design for Linear Discrete-Times Systems. DPS 2022: 398-409 - 2021
- [c4]Mohammed Chelouati
Remaining Useful Life Prediction for Liquid Propulsion Rocket Engine Combustion Chamber. SysTol 2021: 225-230 - 2020
- [j2]Sungho Suh
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. Sensors 20(20): 5846 (2020) - [i1]Mayank Shekhar Jha, Philippe Weber, Didier Theilliol, Jean-Christophe Ponsart, Didier Maquin:
A Reinforcement Learning Approach to Health Aware Control Strategy. CoRR abs/2010.09269 (2020)
2010 – 2019
- 2019
- [c3]Mayank S. Jha, Philippe Weber, Didier Theilliol, Jean-Christophe Ponsart
A Reinforcement Learning Approach to Health Aware Control Strategy. MED 2019: 171-176 - [c2]Mayank S. Jha, Didier Theilliol, Gautam Biswas, Philippe Weber:
Approximate Q-learning approach for Health Aware Control Design. SysTol 2019: 418-423 - 2016
- [j1]Mayank Shekhar Jha
Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework. Comput. Chem. Eng. 95: 216-230 (2016) - 2014
- [c1]Mayank Shekhar Jha
Robust FDI based on LFT BG and relative activity at junction. ECC 2014: 938-943
Coauthor Index
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