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20142026
most citedPerformance and Robustness Analysis of Stochastic Jump Linear Systems using Wasserstein metric

30 citations · 61 across the 30 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

math.OC2019

Wasserstein Proximal Algorithms for the Schrödinger Bridge Problem: Density Control with Nonlinear Drift

Kenneth F. Caluya, Abhishek Halder

We study the Schrödinger bridge problem (SBP) with nonlinear prior dynamics. In control-theoretic language, this is a problem of minimum effort steering of a given joint state prob…

math.OC2019

Finite Horizon Density Steering for Multi-input State Feedback Linearizable Systems

Kenneth F. Caluya, Abhishek Halder

In this paper, we study the feedback synthesis problem for steering the joint state density or ensemble subject to multi-input state feedback linearizable dynamics. This problem is…

math.OC2019

Proximal Recursion for the Wonham Filter

Abhishek Halder, Tryphon T. Georgiou

This paper contributes to the emerging viewpoint that governing equations for dynamic state estimation, conditioned on the history of noisy measurements, can be viewed as gradient…

math.OC2019

The Convex Geometry of Integrator Reach Sets

Shadi Haddad, Abhishek Halder

We study the convex geometry of the forward reach sets for integrator dynamics in finite dimensions with bounded control. We derive closed-form expressions for the volume and the d…

math.OC2019

Gradient Flow Algorithms for Density Propagation in Stochastic Systems

Kenneth F. Caluya, Abhishek Halder

We develop a new computational framework to solve the partial differential equations (PDEs) governing the flow of the joint probability density functions (PDFs) in continuous-time…

math.OC2019

Hopfield Neural Network Flow: A Geometric Viewpoint

Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca +1

We provide gradient flow interpretations for the continuous-time continuous-state Hopfield neural network (HNN). The ordinary and stochastic differential equations associated with…