Pages that link to "Item:Q821735"
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The following pages link to Data-driven recursive least squares methods for non-affined nonlinear discrete-time systems (Q821735):
Displaying 4 items.
- Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems (Q823450) (← links)
- Design of experiments for nonlinear system identification: a set membership approach (Q2207177) (← links)
- Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
- Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
