Trait bayes_estimate::models::ExtendedLinearPredictor

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

An extended linear predictor.

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

Required Methods

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

Uses a non-linear state prediction with linear estimation model and 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>,