The Nesterov accelerated gradient algorithm for auto-regressive exogenous models with random lost measurements: interpolation method and auxiliary model method
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Publication:6197183
DOI10.1016/j.ins.2023.120055MaRDI QIDQ6197183
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Publication date: 16 February 2024
Published in: Information Sciences (Search for Journal in Brave)
parameter estimationinterpolation methodauxiliary modelARX modellost dataNesterov accelerated gradient
Cites Work
- Hierarchical estimation algorithms for multivariable systems using measurement information
- Least squares based and gradient based iterative identification for Wiener nonlinear systems
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- An online gradient method with momentum for two-layer feedforward neural networks
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- Parameter estimation algorithms for multivariable Hammerstein CARMA systems
- On Nesterov acceleration for Landweber iteration of linear ill-posed problems
- Nuclear norm system identification with missing inputs and outputs
- Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle
- A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
- Maximum likelihood estimation of linear SISO models subject to missing output data and missing input data
- An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models
- Least-squares parameter estimation for systems with irregularly missing data
- ImdLMS: An Imputation Based LMS Algorithm for Linear System Identification With Missing Input Data
- Optimal Convergence Rates for Nesterov Acceleration
- Stochastic Gradient Descent for Linear Systems with Missing Data
- Gradient based iterative algorithms for solving a class of matrix equations
- Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
- Identification of FIR systems with binary-valued observations against denial-of-service attacks
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