Pages that link to "Item:Q508335"

The following pages link to Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering (Q508335):

Displaying 50 items.

• Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique (Q318565) (← links)
• Gradient-based iterative identification methods for multivariate pseudo-linear moving average systems using the data filtering (Q333157) (← links)
• New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (Q508358) (← links)
• A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's \(t\)-distribution noises (Q682739) (← links)
• Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise (Q682789) (← links)
• Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter (Q682826) (← links)
• The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory (Q776143) (← links)
• Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise (Q776148) (← links)
• Parameter identification of ARX models based on modified momentum gradient descent algorithm (Q781781) (← links)
• Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering (Q784626) (← links)
• The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model (Q784691) (← links)
• Bias correction-based recursive estimation for dual-rate output-error systems with sampling noise (Q831574) (← links)
• Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule (Q1647523) (← links)
• Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise (Q1648051) (← links)
• Particle swarm optimization iterative identification algorithm and gradient iterative identification algorithm for Wiener systems with colored noise (Q1654314) (← links)
• Adaptive gradient-based iterative algorithm for multivariable controlled autoregressive moving average systems using the data filtering technique (Q1654319) (← links)
• Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique (Q1660669) (← links)
• Combined state and parameter estimation for a bilinear state space system with moving average noise (Q1661792) (← links)
• Recursive parameter estimation algorithm for multivariate output-error systems (Q1661829) (← links)
• Recursive parameter identification of the dynamical models for bilinear state space systems (Q1687334) (← links)
• The hierarchical iterative identification algorithm for multi-input-output-error systems with autoregressive noise (Q1687433) (← links)
• High-dimensional time series prediction using kernel-based koopman mode regression (Q1696900) (← links)
• Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method (Q1789694) (← links)
• A robust global approach for LPV FIR model identification with time-varying time delays (Q1797186) (← links)
• Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique (Q1797205) (← links)
• Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory (Q1989280) (← links)
• Hierarchical least squares identification for feedback nonlinear equation-error systems (Q1989304) (← links)
• Variational Bayesian-based iterative algorithm for ARX models with random missing outputs (Q2003291) (← links)
• Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory (Q2003302) (← links)
• Recursive and iterative least squares parameter estimation algorithms for multiple-input-output-error systems with autoregressive noise (Q2003303) (← links)
• The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise (Q2011872) (← links)
• Iterative solution to a class of complex matrix equations and its application in time-varying linear system (Q2143841) (← links)
• Identification of errors-in-variables ARX models using modified dynamic iterative PCA (Q2170725) (← links)
• Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems (Q2181393) (← links)
• A recursive parameter estimation algorithm for modeling signals with multi-frequencies (Q2193644) (← links)
• Recursive identification of bilinear time-delay systems through the redundant rule (Q2291091) (← links)
• Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268) (← links)
• Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model (Q2293618) (← links)
• Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
• A recursive identification algorithm for Wiener nonlinear systems with linear state-space subsystem (Q2312474) (← links)
• Identification of Wiener channels using a tensor approach (Q2312512) (← links)
• Iterative parameter estimation for signal models based on measured data (Q2312527) (← links)
• The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise (Q2411712) (← links)
• New proof of the gradient-based iterative algorithm for a complex conjugate and transpose matrix equation (Q2412293) (← links)
• A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (Q2412488) (← links)
• The eigenvalues range of a class of matrices and some applications in Cauchy-Schwarz inequality and iterative methods (Q2423030) (← links)
• Efficient parameters estimation method for the separable nonlinear least squares problem (Q2658439) (← links)
• Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise (Q5000698) (← links)
• Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems (Q5003429) (← links)
• Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation (Q5027578) (← links)