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Abstract: The problem of system identification is investigated for plants which are equipped only with binary-valued sensors. Optimal identification errors ...
Abstract: System identification is investigated for plants that are equipped with only binary-valued sensors. Optimal identification errors, time complexity ...
Abstract—System identification is investigated for plants that are equipped with only binary-valued sensors. Optimal identifica- tion errors, time ...
System identification is investigated for plants that are equipped with only binary-valued sensors, revealing that binary sensors impose fundamental ...
This paper aims to address this issue in the system identification with binary-valued output observations under either-or communication and data packet dropout.
This paper addresses system identification using binary-valued sensors in a worst- case set-membership setting. The main contribution is the solution of the ...
Dynamical systems with binary-valued observations are widely used in information industry, technology of biological pharmacy and other fields.
In this paper, the problem of identifying autoregressive-moving-average systems under random threshold binary-valued output measurements is considered.
The problem of system identification is investigated for plants which are equipped only with binary-valued sensors. Optimal identification errors ...
Apr 8, 2024 · In this paper, the problem of identifying autoregressive-moving-average systems under random threshold binary-valued output measurements is considered.