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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…