Trait bayes_estimate::models::ExtendedLinearPredictor [−][src]
pub trait ExtendedLinearPredictor<N: SimdRealField, D: Dim> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, { fn predict(
&mut self,
x_pred: &VectorN<N, D>,
Fx: &MatrixN<N, 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: &VectorN<N, D>,
Fx: &MatrixN<N, D>,
noise: &CorrelatedNoise<N, D>
) -> Result<(), &'static str>[src]
&mut self,
x_pred: &VectorN<N, D>,
Fx: &MatrixN<N, 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>, [src]
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
fn predict(
&mut self,
x_pred: &VectorN<N, D>,
fx: &MatrixN<N, D>,
noise: &CorrelatedNoise<N, D>
) -> Result<(), &'static str>[src]
&mut self,
x_pred: &VectorN<N, D>,
fx: &MatrixN<N, D>,
noise: &CorrelatedNoise<N, D>
) -> Result<(), &'static str>
impl<N: RealField, D: Dim> ExtendedLinearPredictor<N, D> for KalmanState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, [src]
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,