lmlib.statespace.cost.create_rls#
- lmlib.statespace.cost.create_rls(cost, multi_channel_set=False, steady_state=False, kappa_diag=True, steady_state_method='closed_form')#
Returns a ‘Recursive Least Squares Object’ according to the provided parameters.
- Parameters
cost (CostBase) – cost model
multi_channel_set (bool) – Set to True if a RLSAlssmSet* is desired
steady_state (bool) – Set to True if a Steaey State scheme is desired
kappa_diag (bool) – If True a RLSAlssmSet* will performe a diagnoal kappa matrix. Only if multi_channel_set = True
steady_state_method (str) – Type of Steady State method. Available: (‘closed_form’). Only if steady_state == True
- Returns
out – Returns Recursive Least Square Obeject
- Return type
RLSAlssm, RLSAlssmSet, RLSAlssmSteadyState or RLSAlssmSetSteadyState