Pages that link to "Item:Q864278"

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

Displaying 33 items.

• Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling (Q2517569) (← links)
• Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model (Q2517579) (← links)
• Weighted parameter estimation for Hammerstein nonlinear ARX systems (Q2697716) (← links)
• Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (Q2808783) (← links)
• Modified stochastic gradient identification algorithms with fast convergence rates (Q2846337) (← links)
• Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling (Q2855774) (← links)
• Maximum likelihood parameter estimation algorithm for controlled autoregressive autoregressive models (Q2885561) (← links)
• Coupled multi-innovation stochastic gradient type identification methods for multivariate systems (Q2924674) (← links)
• Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory (Q2958262) (← links)
• Identification of multi-input systems based on correlation techniques (Q3082654) (← links)
• On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances (Q3084119) (← links)
• Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems (Q4903484) (← links)
• Global convergence conditions in maximum likelihood estimation (Q4905768) (← links)
• Bias compensation‐based parameter estimation for output error moving average systems (Q4908490) (← links)
• Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model (Q5025871) (← links)
• Weighted hierarchical stochastic gradient identification algorithms for ARX models (Q5027992) (← links)
• The innovation algorithms for multivariable state‐space models (Q5128848) (← 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)
• Identification of the ARX model with random impulse noise based on forgetting factor multi-error information entropy (Q6042577) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
• Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor (Q6078822) (← links)
• Hierarchical recursive Levenberg-Marquardt algorithm for radial basis function autoregressive models (Q6095646) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm (Q6154590) (← links)
• Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea (Q6193184) (← links)
• Momentum‐innovation recursive least squares identification algorithm for a servo turntable system based on the output error model (Q6194826) (← links)
• Time‐delay and parameter estimation for an ARX model based on copula theory and Armijo criterion and their applications in the modeling of the dynamics of the UAV (Q6194841) (← links)
• Servo turntable adaptive step size momentum projection identification algorithm based on ARX model (Q6494978) (← links)
• Identification of Wiener systems based on the variable forgetting factor multierror stochastic gradient and the key term separation (Q6495317) (← links)
• Maximum likelihood based multi-innovation stochastic gradient identification algorithms for bilinear stochastic systems with ARMA noise (Q6498020) (← links)
• Novel parameter estimation method for the systems with colored noises by using the filtering identification idea (Q6569400) (← links)