collaborators

8 papers

math.OC2026

Constrained minmax density transportation for linear parabolic PDEs: a numerical optimal control perspective

Siddhartha Ganguly, Vaibhav Upadhyay, Kenji Kashima +1

This article introduces a numerical optimal control framework for minmax constrained density control for a class of noisy linear parabolic partial differential equations (PDEs), in…

math.OC2026

Continuous-Time Covariance Steering with Common Free-Final Time: Finite-Horizon Solutions and Infinite-Horizon Limits

Akan Selim, Fengjiao Liu, Siddhartha Ganguly +1

This article studies the optimal common free-final time problem for steering the state covariance of a continuous-time stochastic linear system between prescribed initial and termi…

math.OC2026

Lifted Schrödinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions

Siddhartha Ganguly, George Rapakoulias, Panagiotis Tsiotras

We study stochastic density control between Gaussian-mixture endpoint distributions under Brownian prior dynamics. Since the direct Schrödinger bridge between Gaussian mixtures is…

math.OC2026

Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise

Fangji Wang, Siddhartha Ganguly, Panagiotis Tsiotras

We study a finite-horizon covariance steering problem for discrete-time Markov jump linear systems (MJLS) with both state- and control-dependent multiplicative noise. The objective…

math.OC2026

Nonlinear Stochastic Optimal Control and Optimal Stopping using the Fokker-Planck Transformation

Akan Selim, Siddhartha Ganguly, Ali Pakniyat +1

In this paper, we develop a theoretical framework for nonlinear stochastic optimal control problems with optimal stopping by establishing a density-based deterministic representati…

math.OC2026

Robust maximum hands-off optimal control: existence, maximum principle, and - equivalence

Siddhartha Ganguly, Kenji Kashima

This work advances the maximum hands-off sparse control framework by developing a robust counterpart for constrained linear systems with parametric uncertainties. The resulting opt…