Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236)

scientific article; zbMATH DE number 7463995

Language	Label	Description	Also known as
English	Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition	scientific article; zbMATH DE number 7463995

Statements

instance of

scholarly article

0 references

title

Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (English)

0 references

0 references

0 references

0 references

Journal of the Franklin Institute

0 references

publication date

25 January 2022

0 references

zbMATH Keywords

Volterra model

0 references

identification

0 references

tensorial decomposition (PARAFAC)

0 references

MaRDI profile type

Publication

0 references

full work available at URL

https://doi.org/10.1016/j.jfranklin.2021.11.015

0 references

cites work

Parameter estimation with scarce measurements

0 references

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

0 references

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

0 references

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

0 references

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

0 references

Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window

0 references

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

0 references

The innovation algorithms for multivariable state‐space models

0 references

Highly computationally efficient state filter based on the delta operator

0 references

Identification of stochastic nonlinear models using optimal estimating functions

0 references

System identification by operatorial cancellation of nonlinear terms and application to a class of Volterra models

0 references

Computational system identification for Bayesian NARMAX modelling

0 references

Nonlinear predictive control of smooth nonlinear systems based on Volterra models. Application to a pilot plant

0 references

A new convergence analysis for the Volterra series representation of nonlinear systems

0 references

Nonlinear system modeling and identification using Volterra‐PARAFAC models

0 references

Tensor network alternating linear scheme for MIMO Volterra system identification

0 references

Errors-in-variables identification using maximum likelihood estimation in the frequency domain

0 references

Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems

0 references

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

0 references

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

0 references

Hierarchical least squares identification for feedback nonlinear equation-error systems

0 references

Performance analysis of multi-innovation gradient type identification methods

0 references

Weighted parameter estimation for Hammerstein nonlinear ARX systems

0 references

Tensor Decompositions and Applications

0 references

Combined parameter and output estimation of dual-rate systems using an auxiliary model

0 references

Parameter estimation of dual-rate stochastic systems by using an output error method

0 references

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

0 references

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

0 references

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

0 references

Q3799870

0 references

Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise

0 references

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

0 references

Adaptive parameter estimation for a general dynamical system with unknown states

0 references

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

0 references

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

0 references

Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs

0 references

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

0 references

Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps

0 references

Identifiers

zbMATH Open document ID

1481.93022

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

10.1016/J.JFRANKLIN.2021.11.015

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:2071236