Trait bayes_estimate::models::ExtendedLinearObserver [−][src]
pub trait ExtendedLinearObserver<N: SimdRealField, D: Dim, ZD: Dim> where
DefaultAllocator: Allocator<N, ZD, D> + Allocator<N, ZD, ZD> + Allocator<N, ZD>, { fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
Hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>; }
Expand description
A extended linear observer with correlated observation noise.
Uses a non-linear state observation with linear estimation model with additive noise.
Required methods
fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
Hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>[src]
fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
Hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>[src]Uses a non-linear state observation with linear estimation model with additive noise.
Implementors
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for InformationRootState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, ZD, D> + Allocator<N, ZD, ZD> + Allocator<N, D> + Allocator<N, ZD>,
D: DimAdd<ZD> + DimAdd<U1>,
DefaultAllocator: Allocator<N, DimSum<D, ZD>, DimSum<D, U1>> + Allocator<N, DimSum<D, ZD>>,
DimSum<D, ZD>: DimMin<DimSum<D, U1>>,
DefaultAllocator: Allocator<N, DimMinimum<DimSum<D, ZD>, DimSum<D, U1>>> + Allocator<N, DimMinimum<DimSum<D, ZD>, DimSum<D, U1>>, DimSum<D, U1>>, [src]
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for InformationRootState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, ZD, D> + Allocator<N, ZD, ZD> + Allocator<N, D> + Allocator<N, ZD>,
D: DimAdd<ZD> + DimAdd<U1>,
DefaultAllocator: Allocator<N, DimSum<D, ZD>, DimSum<D, U1>> + Allocator<N, DimSum<D, ZD>>,
DimSum<D, ZD>: DimMin<DimSum<D, U1>>,
DefaultAllocator: Allocator<N, DimMinimum<DimSum<D, ZD>, DimSum<D, U1>>> + Allocator<N, DimMinimum<DimSum<D, ZD>, DimSum<D, U1>>, DimSum<D, U1>>, [src]fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>[src]
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for InformationState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D, ZD> + Allocator<N, ZD, D> + Allocator<N, ZD, ZD> + Allocator<N, D> + Allocator<N, ZD>, [src]
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for InformationState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D, ZD> + Allocator<N, ZD, D> + Allocator<N, ZD, ZD> + Allocator<N, D> + Allocator<N, ZD>, [src]fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>[src]
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for KalmanState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, ZD, ZD> + Allocator<N, ZD, D> + Allocator<N, D, ZD> + Allocator<N, D> + Allocator<N, ZD>, [src]
impl<N: RealField, D: Dim, ZD: Dim> ExtendedLinearObserver<N, D, ZD> for KalmanState<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, ZD, ZD> + Allocator<N, ZD, D> + Allocator<N, D, ZD> + Allocator<N, D> + Allocator<N, ZD>, [src]fn observe_innovation(
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>[src]
&mut self,
s: &OVector<N, ZD>,
hx: &OMatrix<N, ZD, D>,
noise: &CorrelatedNoise<N, ZD>
) -> Result<(), &'static str>