Pages that link to "Item:Q1661829"

The following pages link to Recursive parameter estimation algorithm for multivariate output-error systems (Q1661829):

Displaying 50 items.

• Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition (Q318520) (← links)
• Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model (Q419419) (← links)
• Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems (Q552195) (← links)
• Multi-objective linear-programming-based four-judgment algorithm for linear bounded noise system modeling (Q776137) (← 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)
• Orthotopic-filtering-based fault diagnosis algorithms for nonlinear systems with slowly varying faults (Q776146) (← links)
• Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise (Q776148) (← links)
• Bias correction-based recursive estimation for dual-rate output-error systems with sampling noise (Q831574) (← links)
• Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems (Q1660344) (← links)
• Coupled least squares identification algorithms for multivariate output-error systems (Q1662599) (← links)
• Moving horizon estimation for multirate systems with time-varying time-delays (Q1730085) (← links)
• Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems (Q1797200) (← links)
• Recurrent estimation of the observation parameters and covariances in multidimensional systems for covariances of a special structure (Q1882044) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← 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)
• M-PCM-OFFD: an effective output statistics estimation method for systems of high dimensional uncertainties subject to low-order parameter interactions (Q1997513) (← links)
• Expectation maximization identification algorithm for time-delay two-dimensional systems (Q2005413) (← links)
• Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory (Q2125313) (← 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)
• Parametric solutions to generalized periodic Sylvester bimatrix equations (Q2181434) (← links)
• A recursive parameter estimation algorithm for modeling signals with multi-frequencies (Q2193644) (← links)
• A novel recursive learning identification scheme for Box-Jenkins model based on error data (Q2241739) (← links)
• Recursive identification of bilinear time-delay systems through the redundant rule (Q2291091) (← links)
• Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model (Q2293618) (← links)
• Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems (Q2345329) (← links)
• Particle filtering based parameter estimation for systems with output-error type model structures (Q2423919) (← links)
• Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model (Q2423989) (← links)
• Recursive algorithm for the two-stage EFOP estimation method (Q2481776) (← links)
• Least-squares parameter estimation for systems with irregularly missing data (Q3162949) (← 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)
• Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique (Q5025908) (← links)
• Hierarchical parameter and state estimation for bilinear systems (Q5026681) (← links)
• Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter (Q5026890) (← links)
• PARAMETER ESTIMATION OF NONLINEAR OUTPUT ERROR SYSTEM UNDER VARIATIONAL BAYESIAN METHOD BASED ON PROBABILISTIC GRAPHICAL MODEL (Q5070783) (← links)
• 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 (Q5241002) (← links)
• Recursive estimation in piecewise affine systems using parameter identifiers and concurrent learning (Q5382990) (← links)
• The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise (Q6073603) (← links)
• Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises (Q6078915) (← links)
• Identification of dual‐rate sampled errors‐in‐variables systems with time delays (Q6081006) (← links)
• The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems (Q6092381) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Separable synthesis gradient estimation methods and convergence analysis for multivariable systems (Q6099494) (← links)
• The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises (Q6099840) (← links)
• Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems (Q6133112) (← links)
• Recursive identification of errors-in-variables systems based on the correlation analysis (Q6135540) (← links)
• Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea (Q6193184) (← links)
• Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique (Q6194657) (← links)