3 citations · 3 across the 12 of their papers we have counts for
13 papers
Second-Order Mean-Field Schrödinger Bridges with Partial State Information
Asmaa Eldesoukey, Md Zulfiqur Haider, Italo Napolitano +2
Motivated by scenarios in control systems where decision making is informed by only partial information about the states, we introduce a novel formulation of the Schrödinger bridge…
Schrödinger Bridges over Kinetic Swarming Models
Asmaa Eldesoukey, Md Zulfiqur Haider, Italo Napolitano +2
Paradigmatic interaction models explain how collective behaviors can emerge in complex systems from interactions among the constituent agents. In bio-inspired swarms, however, inte…
Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schrödinger Bridge Problem
Georgiy A. Bondar, Asmaa Eldesoukey, Yongxin Chen +1
Solutions to the Schrödinger bridge problem and its generalizations yield feedback control policies for optimal density steering over a controlled diffusion. To numerically compute…
On the Isospectral Nature of Minimum-Shear Covariance Control
Ralph Sabbagh, Asmaa Eldesoukey, Mahmoud Abdelgalil +1
We revisit Brockett's attention in the context of bilinear gradient flow of an ensemble, and explore an alternative formalism that aims to reduce shear by minimizing the conditioni…
A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
Asmaa Eldesoukey, Yongxin Chen, Abhishek Halder
The mean-field Schrödinger bridge (MFSB) problem concerns designing a minimum-effort controller that guides a diffusion process with nonlocal interaction to reach a given distribut…
Minimizing Control Attention:The Linear Gauss-Markov paradigm
Ralph Sabbagh, Asmaa Eldesoukey, Mahmoud Abdelgalil +1
We revisit the concept of `attention' as a technical term to quantify the effort in calibrating control action based on available data. While Wiener, in his work on Cybernetics, an…
Collective steering: Tracer-informed dynamics
Asmaa Eldesoukey, Mahmoud Abdelgalil, Tryphon T. Georgiou
We consider control and inference problems where control protocols and internal dynamics are informed by two types of constraints. Our data consist of i) statistics on the ensemble…
Maximum entropy inference of reaction-diffusion models
Olga Movilla Miangolarra, Asmaa Eldesoukey, Ander Movilla Miangolarra +1
Reaction-diffusion equations are commonly used to model a diverse array of complex systems, including biological, chemical, and physical processes. Typically, these models are phen…
An excursion onto Schrödinger's bridges: Stochastic flows with spatio-temporal marginals
Asmaa Eldesoukey, Olga Movilla Miangolarra, Tryphon T. Georgiou
The purpose of the present work is to expand substantially the type of control and estimation problems that can be addressed following the paradigm of Schrödinger bridges, by incor…
Inferring potential landscapes: A Schrödinger bridge approach to Maximum Caliber
Olga Movilla Miangolarra, Asmaa Eldesoukey, Tryphon T. Georgiou
Schrödinger bridges have emerged as an enabling framework for unveiling the stochastic dynamics of systems based on marginal observations at different points in time. The terminolo…
Schrödinger's control and estimation paradigm with spatio-temporal distributions on graphs
Asmaa Eldesoukey, Tryphon T. Georgiou
The problem of reconciling a prior probability law on paths with data was introduced by E. Schrödinger in 1931/32. It represents an early formulation of a maximum likelihood proble…
Singularly Perturbed Averaging with Application to Bio-Inspired 3D Source Seeking
Mahmoud Abdelgalil, Asmaa Eldesoukey, Haithem Taha
We analyze a class of singularly perturbed high-amplitude, high-frequency oscillatory systems that arises in extremum seeking applications. We provide explicit formulas for averagi…
A Geometric Approach to Modeling, Simulation and Control
Mahmoud Abdelgalil, Asmaa Eldesoukey, Esraa Elshabrawy +1
In this work, we utilize discrete geometric mechanics to derive a 2nd-order variational integrator so as to simulate rigid body dynamics. The developed integrator is to simulate th…