Pages that link to "Item:Q1659459"
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The following pages link to A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems (Q1659459):
Displaying 14 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)
- Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering (Q646086) (← links)
- Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering (Q784626) (← links)
- Systems identification and filtering using pseudo random binary inputs (Q1317947) (← links)
- Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique (Q1660669) (← links)
- Recursive computational formulas of the least squares criterion functions for scalar system identification (Q1991294) (← links)
- Reduced-rank gradient-based algorithms for generalized coupled Sylvester matrix equations and its applications (Q2006491) (← links)
- Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems (Q2263663) (← links)
- A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (Q2412488) (← links)
- Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 1. Open–loop systems (Q3494797) (← links)
- Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 2. Closed-loop systems (Q3494799) (← links)
- Filtering and System Identification (Q3594656) (← links)
- Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique (Q5028709) (← links)
