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Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics - MaRDI portal

Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (Q2068227)

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scientific article; zbMATH DE number 7459447

Language	Label	Description	Also known as
English	Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics	scientific article; zbMATH DE number 7459447

Statements

scholarly article

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Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (English)

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Journal of the Franklin Institute

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publication date

19 January 2022

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zbMATH Keywords

block-oriented system identification

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piecewise-linear nonlinear systems

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data filtering

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MaRDI profile type

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full work available at URL

https://doi.org/10.1016/j.jfranklin.2021.10.001

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Parameter estimation with scarce measurements

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Parameter identification of linear multi-delay systems via a hybrid of block-pulse functions and Taylor’s polynomials

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The innovation algorithms for multivariable state‐space models

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Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems

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Recursive identification of bilinear time-delay systems through the redundant rule

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Highly computationally efficient state filter based on the delta operator

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State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors

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Parameter estimation for block‐oriented nonlinear systems using the key term separation

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Bayesian approach to identify Hammerstein–Wiener non‐linear model in presence of noise and disturbance

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Identification of Wiener-Hammerstein systems by a nonparametric separation of the best linear approximation

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Real‐time identification of nonlinear multiple‐input–multiple‐output systems with unknown input time delay using Wiener model with Neuro‐Laguerre structure

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Consistency of the robust recursive Hammerstein model identification algorithm

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Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems

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Modeling and parameter identification of systems with multisegment piecewise-linear characteristics

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Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise

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Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation

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Hierarchical parameter and state estimation for bilinear systems

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Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity

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Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity

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Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

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A recursive parameter estimation algorithm for modeling signals with multi-frequencies

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Adaptive parameter estimation for a general dynamical system with unknown states

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Recursive parameter identification of the dynamical models for bilinear state space systems

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Combined state and parameter estimation for a bilinear state space system with moving average noise

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Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise

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Robust Kalman filtering for nonlinear multivariable stochastic systems in the presence of non-Gaussian noise

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Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model

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Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling

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Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses

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Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

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State space model identification of multirate processes with time-delay using the expectation maximization

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The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle

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Moving horizon estimation for multirate systems with time-varying time-delays

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Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory

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A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation

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Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses

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Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models

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Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data

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Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation

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Hierarchical least squares identification for feedback nonlinear equation-error systems

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.JFRANKLIN.2021.10.001

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Sitelinks

Mathematics(1 entry)

mardi Publication:2068227

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