Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling
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Publication:2282624
DOI10.1016/j.apm.2013.06.016zbMath1443.93022OpenAlexW2039530981MaRDI QIDQ2282624
Yan Wang, Ziyun Wang, Zhicheng Ji
Publication date: 8 January 2020
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2013.06.016
Stochastic learning and adaptive control (93E35) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)
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Cites Work
- Convergence properties of the least squares estimation algorithm for multivariable systems
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- Extended and unscented Kalman filtering based feedforward neural networks for time series prediction
- Robust mixed control of networked control systems with random time delays in both forward and backward communication links
- Identification of multiple-input single-output Hammerstein models using Bézier curves and Bernstein polynomials
- An efficient algorithm for solving general coupled matrix equations and its application
- Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations
- Parameter estimation for nonlinear dynamical adjustment models
- Parameter and state estimation algorithm for single-input single-output linear systems using the canonical state space models
- \(l_2-l_\infty\) filtering for multirate systems based on lifted models
- Performance analysis of multi-innovation gradient type identification methods
- Unscented filtering algorithm using two-step randomly delayed observations in nonlinear systems
- An iterative method for solving the generalized coupled Sylvester matrix equations over generalized bisymmetric matrices
- Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
- The residual based interactive stochastic gradient algorithms for controlled moving average models
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
- Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities
- Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems
- Kalman filter-based identification for systems with randomly missing measurements in a network environment
- Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
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