Statistical Learning Theory for Control: A Finite-Sample Perspective

Author:

Tsiamis Anastasios1ORCID,Ziemann Ingvar2,Matni Nikolai3ORCID,Pappas George J.3ORCID

Affiliation:

1. Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland

2. Division of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

3. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Modeling and Simulation,Control and Systems Engineering

Reference131 articles.

1. Efficient learning of hidden state LTI state space models of unknown order;djehiche,2022

2. System identification via nuclear norm regularization;sun,2022

3. Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories

4. Asymptotic properties of subspace estimators

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