To efficiently identify an unknown system from its input-output measurements, we have developed a systematic identification algorithm that consists of parameter ...
Abstract: This paper presents a Hammerstein-Wiener recurrent neural network (HWRNN) with a systematic identification algorithm for identifying unknown ...
This paper presents a novel Wiener-type recurrent neural network with the observer/Kalman filter identification (OKID) algorithm for unknown dynamic nonlinear ...
A Hammerstein-Wiener recurrent neural network with a parameter learning algorithm for identifying unknown dynamic nonlinear systems and the ...
The Eigensystem realization algorithm (ERA) is a system identification technique popular in civil engineering, in particular in structural health monitoring ...
In this work, we propose a quantization algorithm for RNNs. Our algorithm is based on only two variables, the maximum constant quantization error ... [Show full ...
A Hammerstein-Wiener Recurrent Neural Network with Frequency-Domain Eigensystem Realization Algorithm for Unknown System Identification. YC Chen, JS Wang. J.
"A Hammerstein-Wiener Recurrent Neural Network with Frequency - Domain Eigensystem Realization Algorithm for Unknown system identification." Journal of ...
... recurrent neural network with frequency-domain eigensystem realization algorithm for unknown system identification. J UCS 15:2547–2565; Cui M, Liu H, Li Z ...
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Apr 13, 2020 · In this paper, a novel modeling and parameter learning method for the Hammerstein–Wiener model with disturbance is proposed.