A Scenario Based Approach to Robust Experiment Design

Author:

Welsh James S.,Rojas Cristian R.

Publisher

Elsevier BV

Subject

General Medicine

Reference39 articles.

1. T. Alamo, R. Tempo, and E.F. Camacho. Improved sample size bounds for probabilistic robust control design: A packet-based strategy. In Proceedings of the 46th IEEE Conference on Decision and Control (CDC), pages 6178-7183, 2007.

2. Statistical learning theory: A packet-based strategy for uncertain feasibility and optimization problems;Alamo,2008

3. Robust convex optimization;Ben-Tal;Mathematics of Operations Research,1998

4. Least costly identification experiment for control;Bombois;Automatica,2006

5. Uncertain convex programs: Randomized solutions and confidence levels;Calafiore;Mathematical Programming, Series A,2005

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1. Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16

2. Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization;IEEE Transactions on Automatic Control;2023-02

3. Compression at the service of learning: a case study for the Guaranteed Error Machine;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

4. Robust design of optimal experiments considering consecutive re-designs;IFAC-PapersOnLine;2022

5. On the consistency of the risk evaluation in the scenario approach;2021 60th IEEE Conference on Decision and Control (CDC);2021-12-14

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