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20132022
most citedNetwork Realization Functions for Optimal Distributed Control

8 citations · 17 across the 7 of their papers we have counts for

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9 papers

eess.SY2022★ 1 cited

Sample Complexity for Evaluating the Robust Linear Observers Performance under Coprime Factors Uncertainty

Yifei Zhang, Sourav Kumar Ukil, Andrei Sperila +1

This paper addresses the end-to-end sample complexity bound for learning in closed loop the state estimator-based robust H2 controller for an unknown (possibly unstable) Linear Tim…

eess.SY2022★ 1 cited

Sparse Representations of Dynamical Networks: A Coprime Factorization Approach

Şerban Sabău, Andrei Sperilă, Cristian Oară +1

We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relation…

eess.SY2021★ 8 cited

Network Realization Functions for Optimal Distributed Control

Şerban Sabău, Andrei Sperilă, Cristian Oară +1

In this paper, we discuss a distributed control architecture, aimed at networks with linear and time-invariant dynamics, which is amenable to convex formulations for controller des…

eess.SY2021★ 1 cited

Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty

Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand +2

This paper addresses the end-to-end sample complexity bound for learning the H2 optimal controller (the Linear Quadratic Gaussian (LQG) problem) with unknown dynamics, for potentia…

math.OC2021

A Parallel Linear-Constraint Active Set Method

E. Dov Neimand, Serban Sabau

We present two parallel optimization algorithms for a convex function . The first algorithm optimizes over linear inequality constraints in a Hilbert space, , and the…

eess.SY2021★ 5 cited

Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity

Andrei Sperilă, Cristian Oară, Bogdan D. Ciubotaru +1

For networks of systems, with possibly improper transfer function matrices, we present a design framework which enables control, while imposing sparsity constr…