Pages that link to "Item:Q6099840"
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The following pages link to The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises (Q6099840):
Displaying 13 items.
- Bias compensation based partially coupled recursive least squares identification algorithm with forgetting factors for MIMO systems: application to PMSMs (Q308271) (← links)
- Bias compensation methods for stochastic systems with colored noise (Q552401) (← links)
- Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods (Q636465) (← links)
- (Q3538149) (← links)
- Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique (Q5028709) (← links)
- Identification of dual‐rate sampled errors‐in‐variables systems with time delays (Q6081006) (← 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)
- 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)
- Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique (Q6194657) (← links)
- Developing variable \(s\)-step CGNE and CGNR algorithms for non-symmetric linear systems (Q6601163) (← links)
- Improved gravitational search and gradient iterative identification for multivariable Hammerstein time-delay systems (Q6652325) (← links)
