277 citations · 564 across the 48 of their papers we have counts for
9 papers · 1 filter
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games
S. Yagiz Olmez, Shubham Aggarwal, Jin Won Kim +4
This paper is concerned with developing mean-field game models for the evolution of epidemics. Specifically, an agent's decision -- to be socially active in the midst of an epidemi…
A Dynamic Programming Formulation for the Nonlinear Filter
Jin Won Kim, Prashant G. Mehta
This paper build on our recent work where we presented a dual stochastic optimal control formulation of the nonlinear filtering problem [1]. The constraint for the dual problem is…
Control-oriented Modeling of Bend Propagation in an Octopus Arm
Tixian Wang, Udit Halder, Ekaterina Gribkova +2
Bend propagation in an octopus arm refers to a stereotypical maneuver whereby an octopus pushes a bend (localized region of large curvature) from the base to the tip of the arm. Be…
A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies
Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih +5
This paper is concerned with the problem of estimating (interpolating and smoothing) the shape (pose and the six modes of deformation) of a slender flexible body from multiple came…
Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning
Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta +1
This paper is concerned with optimal control problems for control systems in continuous time, and interacting particle system methods designed to construct approximate control solu…
A Dual Characterization of the Stability of the Wonham Filter
Jin Won Kim, Prashant G. Mehta
This paper revisits the classical question of the stability of the nonlinear Wonham filter. The novel contributions of this paper are two-fold: (i) definition of the stabilizabilit…
The Conditional Poincaré Inequality for Filter Stability
Jin Won Kim, Prashant G. Mehta, Sean Meyn
This paper is concerned with the problem of nonlinear filter stability of ergodic Markov processes. The main contribution is the conditional Poincaré inequality (PI), which is show…
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter
Amirhossein Taghvaei, Prashant G. Mehta
Feedback particle filter (FPF) is a Monte-Carlo (MC) algorithm to approximate the solution of a stochastic filtering problem. In contrast to conventional particle filters, the Baye…
Minimum variance constrained estimator
Prabhat K. Mishra, Girish Chowdhary, Prashant G. Mehta
This paper is concerned with the problem of state estimation for discrete-time linear systems in the presence of additional (equality or inequality) constraints on the state (or es…