16 citations · 30 across the 10 of their papers we have counts for
10 papers
Consensus on Lie groups for the Riemannian Center of Mass
Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi
In this paper, we develop a consensus algorithm for distributed computation of the Riemannian center of mass (RCM) on Lie Groups. The algorithm is built upon a distributed optimiza…
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
This paper examines learning the optimal filtering policy, known as the Kalman gain, for a linear system with unknown noise covariance matrices using noisy output data. The learnin…
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Duality of control and estimation allows mapping recent advances in data-guided control to the estimation setup. This paper formalizes and utilizes such a mapping to consider learn…
Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis
Shahriar Talebi, Mehran Mesbahi
In this paper, we study linearly constrained policy optimization over the manifold of Schur stabilizing controllers, equipped with a Riemannian metric that emerges naturally in the…
Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems
Siavash Alemzadeh, Shahriar Talebi, Mehran Mesbahi
Control of networked systems, comprised of interacting agents, is often achieved through modeling the underlying interactions. Constructing accurate models of such interactions--in…
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma
Yue Yu, Shahriar Talebi, Henk J. van Waarde +3
Willems' fundamental lemma asserts that all trajectories of a linear time-invariant system can be obtained from a finite number of measured ones, assuming that controllability and…