Mayank Shekhar Jha

According to our database, Mayank Shekhar Jha authored at least 16 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Off-policy safe reinforcement learning for nonlinear discrete-time systems.

Mayank Shekhar Jha, Bahare Kiumarsi

Neurocomputing, 2025

2024

Remaining Useful Life prediction based on physics-informed data augmentation.

Martin Hervé de Beaulieu, Mayank Shekhar Jha, Hugues Garnier, Farid Cerbah

Reliab. Eng. Syst. Saf., 2024

Degradation tolerant optimal control design for stochastic linear systems.

Soha Kanso, Mayank Shekhar Jha, Didier Theilliol

Int. J. Appl. Math. Comput. Sci., 2024

A Weighted Linearization Approach to Gradient Descent Optimization.

Damiano Rotondo, Mayank Shekhar Jha

Proceedings of the European Control Conference, 2024

Safe Reinforcement Learning Based on Off-Policy Approach for Nonlinear Discrete-Time Systems.

Mayank Shekhar Jha, Bahare Kiumarsi, Didier Theilliol

Proceedings of the American Control Conference, 2024

2023

Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks.

Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Paul Lukowicz

CoRR, 2023

Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction.

Khoury Boutrous, Julien Thuillier, Mayank Shekhar Jha, Vicenç Puig, Didier Theilliol

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries.

Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Redundancy-Aware Physics Informed Neural Networks (R-PINNs) Based Learning of Nonlinear Algebraic Systems with Non-Measurable States.

Mayank Shekhar Jha, Hugues Garnier, Didier Theilliol

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Degradation Tolerant Optimal Control Design for Linear Discrete-Times Systems.

Soha Kanso, Mayank Shekhar Jha, Didier Theilliol

Proceedings of the Intelligent and Safe Computer Systems in Control and Diagnostics, 2022

2021

Remaining Useful Life Prediction for Liquid Propulsion Rocket Engine Combustion Chamber.

Mohammed Chelouati, Mayank S. Jha, Marco Galeotta, Didier Theilliol

Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

2020

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear.

Sungho Suh, Joel Jang, Seungjae Won, Mayank Shekhar Jha, Yong Oh Lee

Sensors, 2020

2019

Approximate Q-learning approach for Health Aware Control Design.

Mayank S. Jha, Didier Theilliol, Gautam Biswas, Philippe Weber

Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

A Reinforcement Learning Approach to Health Aware Control Strategy.

Mayank S. Jha, Philippe Weber, Didier Theilliol, Jean-Christophe Ponsart, Didier Maquin

Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019

2016

Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework.

Mayank Shekhar Jha, Mathieu Bressel, Belkacem Ould Bouamama, Geneviève Dauphin-Tanguy

Comput. Chem. Eng., 2016

2014

Robust FDI based on LFT BG and relative activity at junction.

Mayank Shekhar Jha, Geneviève Dauphin-Tanguy, Belkacem Ould Bouamama

Proceedings of the 13th European Control Conference, 2014