Identification of an ARX model with impulse noise using a variable step size information gradient algorithm based on the kurtosis and minimum Renyi error entropy
From MaRDI portal
Publication:6082676
DOI10.1002/rnc.5903zbMath1527.93456OpenAlexW3217321497MaRDI QIDQ6082676
Publication date: 2 December 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5903
Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Impulsive control/observation systems (93C27)
Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Parameter estimation with scarce measurements
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Parameter identification of ARX models based on modified momentum gradient descent algorithm
- A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS)
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- Recursive identification of bilinear time-delay systems through the redundant rule
- Comparison of the convergence rates of the new correntropy-based Levenberg-Marquardt (CLM) method and the fixed-point maximum correntropy (FP-MCC) algorithm
- A novel kurtosis driven variable step-size adaptive algorithm
- Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
- Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
- Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
- Hierarchical parameter and state estimation for bilinear systems
- Information Theoretic Learning
- Highly computationally efficient state filter based on the delta operator
- State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- On Estimation of a Probability Density Function and Mode
- Minimality and identifiability of discrete‐time switched autoregressive exogenous systems
- Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
- Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
- Identification of switched autoregressive exogenous systems from large noisy datasets
This page was built for publication: Identification of an ARX model with impulse noise using a variable step size information gradient algorithm based on the kurtosis and minimum Renyi error entropy
