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Matias I. Müller

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2020 – today

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2022
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Matias I. Müller, Cristian R. Rojas:
Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations. Autom. 136: 110042 (2022)
2021
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Matias I. Müller:
Learning Sequential Decision Rules in Control Design: Regret-Optimal and Risk-Coherent Methods. Royal Institute of Technology, Stockholm, Sweden, 2021
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Matias I. Müller, Cristian R. Rojas:
Asymptotically Optimal Bandits under Weighted Information. CoRR abs/2105.14114 (2021)
2020
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Matias I. Müller, Cristian R. Rojas:
Iterative H-norm Estimation Using Cyclic-Prefixed Signals. CDC 2020: 2869-2874

2010 – 2019

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2019
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Matias I. Müller, Cristian R. Rojas:
Gain estimation of linear dynamical systems using Thompson Sampling. AISTATS 2019: 1535-1543
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Matias I. Müller, Cristian R. Rojas:
Risk-Coherent H_∞-optimal Filter Design Under Model Uncertainty with Applications to MISO Control. ECC 2019: 1461-1466
2018
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Matias I. Müller, Jezdimir Milosevic, Henrik Sandberg, Cristian R. Rojas:
A Risk-Theoretical Approach to H₂-Optimal Control Under Covert Attacks. CDC 2018: 4553-4558
2017
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Matias I. Müller, Patricio E. Valenzuela, Alexandre Proutière, Cristian R. Rojas:
A stochastic multi-armed bandit approach to nonparametric H∞-norm estimation. CDC 2017: 4632-4637

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