Towards targeted exploration for non-stochastic disturbances
We present a novel targeted exploration strategy for linear time-invariant systems without stochastic assumptions on the noise, i.e., without requiring independence or zero mean, allowing for deterministic model misspecifications. This work utilizes classical data-dependent uncertainty bounds on the...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Elsevier
2024
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