Pages that link to "Item:Q5241002"

The following pages link to 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):

Displaying 37 items.

• Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector (Q6085140) (← links)
• Convergence analysis of the modified adaptive extended Kalman filter for the parameter estimation of a brushless DC motor (Q6092358) (← links)
• An efficient recursive identification algorithm for multilinear systems based on tensor decomposition (Q6092365) (← 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)
• Recursive identification of errors-in-variables systems based on the correlation analysis (Q6135540) (← links)
• Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm (Q6154590) (← links)
• Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← 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)
• Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries (Q6197896) (← links)
• Maximum likelihood hierarchical least squares-based iterative identification for dual-rate stochastic systems (Q6493487) (← links)
• Iterative parameter and order identification for fractional-order nonlinear finite impulse response systems using the key term separation (Q6494668) (← links)
• Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling (Q6494672) (← links)
• Finite-time adaptive control for nonlinear systems with uncertain parameters based on the command filters (Q6494685) (← links)
• Filtering-based recursive least squares estimation approaches for multivariate equation-error systems by using the multiinnovation theory (Q6494697) (← links)
• Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation (Q6494842) (← links)
• Identification and U-control of a state-space system with time-delay (Q6495624) (← links)
• Two-stage gradient-based iterative algorithms for the fractional-order nonlinear systems by using the hierarchical identification principle (Q6496211) (← links)
• Maximum likelihood based multi-innovation stochastic gradient identification algorithms for bilinear stochastic systems with ARMA noise (Q6498020) (← links)
• Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises (Q6569390) (← links)
• Novel parameter estimation method for the systems with colored noises by using the filtering identification idea (Q6569400) (← links)
• Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input-output-error systems with colored noises from observation data (Q6572457) (← links)
• Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise (Q6577238) (← links)
• Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise (Q6598712) (← links)
• Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems (Q6598747) (← links)
• Recursive parameter estimation and its convergence for bilinear systems (Q6598822) (← links)
• Improved least-squares identification for multiple-output non-linear stochastic systems (Q6598862) (← links)
• Partially-coupled gradient-based iterative algorithms for multivariable output-error-like systems with autoregressive moving average noises (Q6609022) (← links)
• Parameter estimation methods of linear continuous-time time-delay systems from multi-frequency response data (Q6612083) (← links)
• Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems (Q6631782) (← links)
• Improved gravitational search and gradient iterative identification for multivariable Hammerstein time-delay systems (Q6652325) (← links)
• Hierarchical gradient-based iterative parameter estimation algorithms for a nonlinear feedback system based on the hierarchical identification principle (Q6652739) (← links)
• Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model (Q6652767) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)