Robust targeted exploration for systems with non-stochastic disturbances

In this paper, we introduce a novel targeted exploration strategy designed specifically for uncertain linear time-invariant systems with energy-bounded disturbances, i.e., without any assumptions on the distribution of the disturbances. We use classical results characterizing the set of non-falsified parameters consistent with energy-bounded disturbances. We derive a semidefinite program which computes an exploration strategy that guarantees a desired accuracy of the parameter estimate. This design is based on sufficient conditions on the spectral content of the exploration data that robustly account for initial parametric uncertainty. Finally, we highlight the applicability of the exploration strategy through a numerical example involving a nonlinear system.

Subjects

Data-driven control

Experiment design

Optimization under uncertainties

Uncertainty quantification

DDC Class

629.8: Control and Feedback Control Systems

519: Applied Mathematics, Probabilities

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

1-s2.0-S0005109826004127-main.pdf

Type

Main Article

Size

1.22 MB

Format

Adobe PDF

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Robust targeted exploration for systems with non-stochastic disturbances