most citedWorkspace Partitioning and Topology Discovery Algorithms for Heterogeneous Multi-Agent Networks

8 citations · 9 across the 5 of their papers we have counts for

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math.OC2021

Covariance Control of Discrete-Time Gaussian Linear Systems Using Affine Disturbance Feedback Control Policies

Isin M. Balci, Efstathios Bakolas

In this paper, we present a new control policy parametrization for the finite-horizon covariance steering problem for discrete-time Gaussian linear systems (DTGLS) which can reduce…

math.OC2021

On the Convexity of Discrete Time Covariance Steering in Stochastic Linear Systems with Wasserstein Terminal Cost

Isin M. Balci, Abhishek Halder, Efstathios Bakolas

In this work, we analyze the properties of the solution to the covariance steering problem for discrete time Gaussian linear systems with a squared Wasserstein distance terminal co…

math.OC2020

Minimum Variance and Covariance Steering Based on Affine Disturbance Feedback Control Parameterization

Efstathios Bakolas

The goal of this paper is to address finite-horizon minimum variance and covariance steering problems for discrete-time stochastic (Gaussian) linear systems. On the one hand, the m…

math.OC2020

Nonlinear Covariance Steering using Variational Gaussian Process Predictive Models

Alexandros Tsolovikos, Efstathios Bakolas

In this work, we consider the problem of steering the first two moments of the uncertain state of an unknown discrete-time stochastic nonlinear system to a given terminal distribut…

math.OC2020

Covariance Steering of Discrete-Time Stochastic Linear Systems Based on Distribution Distance Terminal Costs

Isin M. Balci, Efstathios Bakolas

We consider a class of stochastic optimal control problems for discrete-time stochastic linear systems which seek for control policies that will steer the probability distribution…

math.OC2020

Greedy Finite-Horizon Covariance Steering for Discrete-Time Stochastic Nonlinear Systems Based on the Unscented Transform

Efstathios Bakolas, Alexandros Tsolovikos

In this work, we consider the problem of steering the first two moments of the uncertain state of a discrete time nonlinear stochastic system to prescribed goal quantities at a giv…