Trait bayes_estimate::models::ExtendedLinearPredictor

pub trait ExtendedLinearPredictor<N: RealField, D: Dim> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, {
    fn predict(
        &mut self, 
        x_pred: &OVector<N, D>, 
        Fx: &OMatrix<N, D, D>, 
        noise: &CorrelatedNoise<N, D>
    ) -> Result<(), &'static str>;
}

An extended linear predictor.

Uses a non-linear state prediction with linear estimation model with additive noise.

Required methods

fn predict(
    &mut self,
    x_pred: &OVector<N, D>,
    Fx: &OMatrix<N, D, D>,
    noise: &CorrelatedNoise<N, D>
) -> Result<(), &'static str>

Uses a non-linear state prediction with linear estimation model with additive noise.

Implementors

impl<N: RealField, D: Dim> ExtendedLinearPredictor<N, D> for InformationState<N, D> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, 

impl<N: RealField, D: Dim> ExtendedLinearPredictor<N, D> for KalmanState<N, D> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,