Pages that link to "Item:Q864278"

The following pages link to Performance analysis of multi-innovation gradient type identification methods (Q864278):

Displaying 50 items.

• Gradient based iterative solutions for general linear matrix equations (Q979919) (← links)
• The residual based interactive least squares algorithms and simulation studies (Q979937) (← links)
• Time series AR modeling with missing observations based on the polynomial transformation (Q984202) (← links)
• Least squares based iterative identification for a class of multirate systems (Q987616) (← links)
• Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems (Q988225) (← links)
• Transformations between some special matrices (Q988230) (← links)
• Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems (Q988343) (← links)
• Self-tuning control based on multi-innovation stochastic gradient parameter estimation (Q999835) (← links)
• On consistency of recursive least squares identification algorithms for controlled auto-regression models (Q1007694) (← links)
• Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems (Q1012720) (← links)
• The residual based interactive stochastic gradient algorithms for controlled moving average models (Q1021670) (← links)
• Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises (Q1032409) (← links)
• Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model (Q1036542) (← links)
• Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models (Q1637273) (← links)
• Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash (Q1648033) (← links)
• A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459) (← links)
• Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering (Q1660400) (← links)
• Parameter identification of a class of nonlinear systems based on the multi-innovation identification theory (Q1660694) (← links)
• Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
• Two identification methods for dual-rate sampled-data nonlinear output-error systems (Q1718153) (← links)
• Iterative solutions of a set of matrix equations by using the hierarchical identification principle (Q1724671) (← links)
• A preconditioned iteration method for solving Sylvester equations (Q1760676) (← links)
• Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
• Iterative identification algorithm for Wiener nonlinear systems using the Newton method (Q1788772) (← links)
• Three-stage recursive least squares parameter estimation for controlled autoregressive autoregressive systems (Q1789049) (← links)
• Gradient based iterative parameter identification for Wiener nonlinear systems (Q1789549) (← links)
• Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems (Q1930955) (← links)
• Two-stage recursive least squares parameter estimation algorithm for output error models (Q1931035) (← links)
• Multi-innovation extended stochastic gradient algorithm and its performance analysis (Q1959352) (← links)
• Recursive computational formulas of the least squares criterion functions for scalar system identification (Q1991294) (← 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)
• Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236) (← links)
• Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm (Q2207073) (← links)
• Finite iterative algorithm for solving a complex of conjugate and transpose matrix equation (Q2249920) (← links)
• Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling (Q2282624) (← links)
• Fully parametric identification for continuous time fractional order Hammerstein systems (Q2291084) (← links)
• Least-squares based and gradient based iterative parameter estimation algorithms for a class of linear-in-parameters multiple-input single-output output error systems (Q2336626) (← links)
• Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process (Q2339054) (← links)
• Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248) (← links)
• A multi-innovation recursive least squares algorithm with a forgetting factor for Hammerstein CAR systems with backlash (Q2362602) (← links)
• Least-squares-based iterative identification algorithm for Wiener nonlinear systems (Q2375585) (← links)
• Convergence of HLS estimation algorithms for multivariable ARX-like systems (Q2383841) (← links)
• Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities (Q2428877) (← links)
• Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (Q2429064) (← links)
• Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems (Q2435673) (← links)
• Least squares algorithm for an input nonlinear system with a dynamic subspace state space model (Q2436150) (← links)
• Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model (Q2441975) (← links)
• Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle (Q2479168) (← links)
• Parameter identification of multi-input, single-output systems based on FIR models and least squares principle (Q2479192) (← links)