Newton iterative identification for a class of output nonlinear systems with moving average noises
From MaRDI portal
Publication:2436948
DOI10.1007/s11071-013-0943-3zbMath1281.93109OpenAlexW2053019118MaRDI QIDQ2436948
Junxia Ma, Yongsong Xiao, Feng Ding
Publication date: 27 February 2014
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-013-0943-3
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (22)
Multistage for identification of Wiener time delay systems based on hierarchical gradient approach ⋮ System identification application using Hammerstein model ⋮ Recursive least squares identification of hybrid Box-Jenkins model structure in open-loop and closed-loop ⋮ Robust identification of Wiener time-delay system with expectation-maximization algorithm ⋮ Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise ⋮ Twin support vector machine method for identification of Wiener models ⋮ Least squares based and two-stage least squares based iterative estimation algorithms for H-FIR-MA systems ⋮ The Boubaker polynomials and their application to solve fractional optimal control problems ⋮ Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle ⋮ A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations ⋮ Novel parameter estimation of autoregressive signals in the presence of noise ⋮ Parameter identification of fractional order system using enhanced response sensitivity approach ⋮ Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems ⋮ Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle ⋮ Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique ⋮ Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems ⋮ Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling ⋮ Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems ⋮ Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique ⋮ Decentralized adaptive neural network control for mechanical systems with dead-zone input ⋮ Application of the Newton iteration algorithm to the parameter estimation for dynamical systems ⋮ Iterative learning identification for a class of parabolic distributed parameter systems
Cites Work
- Unnamed Item
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- Parameter identification and synchronization of uncertain general complex networks via adaptive-impulsive control
- Maximum likelihood least squares identification for systems with autoregressive moving average noise
- Robust \(\mathcal H_\infty\) filtering for nonlinear stochastic systems with uncertainties and Markov delays
- Iterative parameter identification methods for nonlinear functions
- Robust mixed control of networked control systems with random time delays in both forward and backward communication links
- Finite iterative solutions to coupled Sylvester-conjugate matrix equations
- Least squares based and gradient based iterative identification for Wiener nonlinear systems
- Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
- Hierarchical least-squares based iterative identification for multivariable systems with moving average noises
- Gradient-based iterative parameter estimation for Box-Jenkins systems
- Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
- Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
- Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations
- Parameter estimation with scarce measurements
- Generalized Newton-iterative method for semismooth equations
- Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
- An iterative method for solving the generalized coupled Sylvester matrix equations over generalized bisymmetric matrices
- Time series AR modeling with missing observations based on the polynomial transformation
- Least squares based iterative identification for a class of multirate systems
- Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- Parallel Newton two-stage multisplitting iterative methods for nonlinear systems
- A blind approach to the Hammerstein-Wiener model identification
- Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
- Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
- Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity
- Hierarchical gradient-based identification of multivariable discrete-time systems
- Iterative identification algorithm for Wiener nonlinear systems using the Newton method
- Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems
- An iterative numerical algorithm for modeling a class of Wiener nonlinear systems
- Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
- Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle
- Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities
- Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique
- Gradient-based identification methods for Hammerstein nonlinear ARMAX models
- Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle
- Identification of Hammerstein nonlinear ARMAX systems
- Gradient-based iterative identification for nonuniform sampling output error systems
- Hierarchical identification of lifted state-space models for general dual-rate systems
- Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains
- Hierarchical least squares identification methods for multivariable systems
- An Iterative Ensemble Kalman Filter
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
This page was built for publication: Newton iterative identification for a class of output nonlinear systems with moving average noises