Parameter identification for Wiener-finite impulse response system with output data of missing completely at random mechanism and time delay
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Publication:6493673
DOI10.1002/ACS.3227MaRDI QIDQ6493673
Wu Cai, Qibing Jin, Zeyu Wang, Yuming Zhang
Publication date: 29 April 2024
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Auxiliary model based least squares identification method for a state space model with a unit time-delay
- Initializing the EM algorithm in Gaussian mixture models with an unknown number of components
- Parameter estimation of chaotic system with time-delay: a differential evolution approach
- Decomposition-based recursive least squares algorithm for Wiener nonlinear feedback FIR-MA systems using the filtering theory
- Choosing initial values for the EM algorithm for finite mixtures
- Robust identification of Wiener time-delay system with expectation-maximization algorithm
- Iterative identification algorithm for Wiener nonlinear systems using the Newton method
- Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter
- Wiener system identification with generalized orthonormal basis functions
- Identification of FIR Wiener systems with unknown, non-invertible, polynomial non-linearities
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