rhs()

InterpolatedDiscreteModel.rhs(parameter, state, input_=None)

Evaluate the right-hand side of the model by applying each operator and summing the results.

This is the function \(\fhat(\qhat, \u; \bfmu)\) where the model is given by \(\qhat(\bfmu)_{j+1} = \fhat(\qhat(\bfmu)_{j}, \u_{j}; \bfmu)\).

Parameters

parameter(p,) ndarray

Parameter value \(\bfmu\).

state(r,) ndarray

State vector \(\qhat\).

input_(m,) ndarray or None

Input vector \(\u\).

Returns

nextstate(r,) ndarray

Evaluation of the right-hand side of the model.

Notes

For repeated rhs() calls with the same parameter value, use evaluate() to first get the nonparametric model corresponding to the parameter value.

# Instead of this...
>>> values = [parametric_model.rhs(parameter, q, input_)
...           for q in list_of_states]
# ...it is faster to do this.
>>> model_at_parameter = parametric_model.evaluate(parameter)
>>> values = [model_at_parameter.rhs(parameter, q, input_)
...           for q in list_of_states]