Pages that link to "Item:Q784626"

The following pages link to Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering (Q784626):

Displaying 17 items.

• A recursive least squares algorithm for pseudo-linear ARMA systems using the auxiliary model and the filtering technique (Q318271) (← links)
• Gradient-based iterative identification methods for multivariate pseudo-linear moving average systems using the data filtering (Q333157) (← links)
• Weighted least squares based recursive parametric identification for the submodels of a PWARX system (Q445160) (← links)
• Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering (Q508335) (← links)
• New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (Q508358) (← links)
• A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459) (← links)
• Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique (Q1660669) (← links)
• Collaborative linear dynamical system identification by scarce relevant/irrelevant observations (Q1710964) (← links)
• Data filtering based recursive and iterative least squares algorithms for parameter estimation of multi-input output systems (Q1736818) (← links)
• Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory (Q2003302) (← links)
• Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique (Q2399050) (← links)
• A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (Q2412488) (← links)
• Filtering and System Identification (Q3594656) (← links)
• Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation (Q5027578) (← links)
• (Q5367835) (← links)
• Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion (Q6053746) (← links)
• Multi-innovation gradient estimation algorithms for multivariate equation-error autoregressive moving average systems based on the filtering technique (Q6598653) (← links)