4 citations · 9 across the 14 of their papers we have counts for
25 papers
Optimal Sensor Precision for Multi-Rate Sensing for Bounded Estimation Error
Niladri Das, Raktim Bhattacharya
We address the problem of determining optimal sensor precisions for estimating the states of linear time-varying discrete-time stochastic dynamical systems, with guaranteed bounds…
Optimal Transport Based Refinement of Physics-Informed Neural Networks
Vaishnav Tadiparthi, Raktim Bhattacharya
In this paper, we propose a refinement strategy to the well-known Physics-Informed Neural Networks (PINNs) for solving partial differential equations (PDEs) based on the concept of…
Sensor Placement with Optimal Precision for Temperature Estimation of Battery Systems
Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao
The temperature distribution in the battery significantly impacts the short-term and long-term performance of battery systems. Therefore, efficient, safe, and reliable battery syst…
Sensor Selection and Optimal Precision in Estimation Framework: Theory and Algorithms
Vedang M. Deshpande, Raktim Bhattacharya
We consider the problem of sensor selection for designing observer and filter for continuous linear time invariant systems such that the sensor precisions are minimized, and the es…
Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments
Vedang M. Deshpande, Raktim Bhattacharya
In this paper the tracking problem of multi-agent systems, in a particular scenario where a segment of agents entering a sensing-denied environment or behaving as non-cooperative t…
Sparse Sensing and Optimal Precision: Robust Optimal Observer Design with Model Uncertainty
Vedang M. Deshpande, Raktim Bhattacharya
We present a framework which incorporates three aspects of the estimation problem, namely, sparse sensor configuration, optimal precision, and robustness in the presence of model u…