Pages that link to "Item:Q984202"

The following pages link to Time series AR modeling with missing observations based on the polynomial transformation (Q984202):

Displaying 40 items.

• A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems (Q297706) (← links)
• Recursive parameter estimation algorithms and convergence for a class of nonlinear systems with colored noise (Q318193) (← links)
• Hierarchical least squares algorithms for nonlinear feedback system modeling (Q328119) (← links)
• On the Kronecker products and their applications (Q364322) (← links)
• Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle (Q398298) (← links)
• A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations (Q398374) (← links)
• Several gradient parameter estimation algorithms for dual-rate sampled systems (Q398410) (← links)
• Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model (Q419419) (← links)
• Recursive parameter identification for fermentation processes with the multiple model technique (Q438052) (← links)
• An efficient hierarchical identification method for general dual-rate sampled-data systems (Q462394) (← links)
• Parameter identification methods for an additive nonlinear system (Q531232) (← links)
• Computing matrix functions using mixed interpolation methods (Q614312) (← links)
• Signal frequency and parameter estimation for power systems using the hierarchical identification principle (Q614318) (← links)
• Hierarchical least squares algorithms for single-input multiple-output systems based on the auxiliary model (Q614326) (← links)
• Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems (Q623044) (← links)
• Performance analysis of the AM-SG parameter estimation for multivariable systems (Q628916) (← links)
• Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data (Q636441) (← links)
• Parameter estimation for nonlinear dynamical adjustment models (Q652885) (← links)
• Parameter and state estimation algorithm for single-input single-output linear systems using the canonical state space models (Q693455) (← links)
• An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition (Q714591) (← links)
• Computation of matrix exponentials of special matrices (Q907552) (← links)
• Methodologies for the estimation of missing observations in time series (Q1081262) (← links)
• Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
• Collaborative linear dynamical system identification by scarce relevant/irrelevant observations (Q1710964) (← links)
• Least squares based iterative algorithm for the coupled Sylvester matrix equations (Q1719221) (← links)
• Three-stage recursive least squares parameter estimation for controlled autoregressive autoregressive systems (Q1789049) (← links)
• Track irregularity time series analysis and trend forecasting (Q1925497) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Combined state and least squares parameter estimation algorithms for dynamic systems (Q1991337) (← links)
• Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search (Q2017916) (← links)
• Signal modeling using the gradient search (Q2339039) (← links)
• A prediction method based on wavelet transform and multiple models fusion for chaotic time series (Q2410560) (← links)
• Aitken based modified Kalman filtering stochastic gradient algorithm for dual-rate nonlinear models (Q2416724) (← links)
• Newton iterative identification for a class of output nonlinear systems with moving average noises (Q2436948) (← links)
• Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model (Q2441975) (← links)
• Modified stochastic gradient identification algorithms with fast convergence rates (Q2846337) (← links)
• Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems (Q4903484) (← links)
• Recursive Gauss–Seidel algorithm for direct self‐tuning control (Q5178394) (← links)
• Convergence Analysis of Weighted Stochastic Gradient Identification Algorithms Based on Latest‐Estimation for ARX Models (Q5194867) (← links)
• Performance Analysis of The Auxiliary‐Model‐Based Multi‐Innovation Stochastic Newton Recursive Algorithm for Dual‐Rate Systems (Q5270472) (← links)