4 citations · 9 across the 16 of their papers we have counts for
13 papers · 1 filter
On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations
Vedang M. Deshpande, Raktim Bhattacharya
Polynomial chaos expansions provide surrogate models for stochastic systems, with coefficients typically derived using Galerkin projection, stochastic collocation, or least squares…
Optimal Control with Sparse Sensing and Actuation
Vedang M. Deshpande, Raktim Bhattacharya
In this paper, we present novel convex optimization formulations for designing full-state and output-feedback controllers with sparse actuation that achieve user-specified $\mathca…
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…
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…