Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector
From MaRDI portal
Publication:6085140
DOI10.1002/rnc.5968zbMath1527.93041OpenAlexW4205316148MaRDI QIDQ6085140
Unnamed Author, Yan Ji, Lijuan Wan
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.5968
Related Items
Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- The expected discounted penalty function under a renewal risk model with stochastic income
- 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
- Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise
- Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
- On spectrally positive Lévy risk processes with Parisian implementation delays in dividend payments
- Combined state and parameter estimation for a bilinear state space system with moving average noise
- Recursive parameter identification of the dynamical models for bilinear state space systems
- Spectrally negative Lévy risk model under Erlangized barrier strategy
- Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory
- Combined state and least squares parameter estimation algorithms for dynamic systems
- A stable and efficient technique for linear boundary value problems by applying kernel functions
- A chaotic strategy-based quadratic opposition-based learning adaptive variable-speed whale optimization algorithm
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- An interactive maximum likelihood estimation method for multivariable Hammerstein systems
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- Recursive identification of bilinear time-delay systems through the redundant rule
- Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
- Optimal periodic dividend and capital injection problem for spectrally positive Lévy processes
- An extension of Paulsen-Gjessing's risk model with stochastic return on investments
- Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms
- Stability of time-delay systems with impulsive control involving stabilizing delays
- A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
- Weighted parameter estimation for Hammerstein nonlinear ARX systems
- A Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares Problems
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
- Adaptive parameter estimation for a general dynamical system with unknown states
- Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- Robust economic model predictive control of nonlinear networked control systems with communication delays
- Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
- Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps
- Hierarchical parameter and state estimation for bilinear systems
- Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
- Discrete fractional order PID controller design for nonlinear systems
- 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
- 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
- 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
- Gradient-based variable forgetting factor RLS algorithm in time-varying environments
- Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models
- Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window
- Identification of the ARX model with random impulse noise based on forgetting factor multi-error information entropy
- 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
- Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
This page was built for publication: Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector
