11 #ifndef CROCODDYL_CORE_NUMDIFF_STATE_HPP_
12 #define CROCODDYL_CORE_NUMDIFF_STATE_HPP_
14 #include "crocoddyl/core/fwd.hpp"
15 #include "crocoddyl/core/state-base.hpp"
19 template <
typename _Scalar>
22 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
25 typedef _Scalar Scalar;
28 typedef typename MathBase::VectorXs VectorXs;
29 typedef typename MathBase::MatrixXs MatrixXs;
34 virtual VectorXs
zero()
const override;
35 virtual VectorXs
rand()
const override;
36 virtual void diff(
const Eigen::Ref<const VectorXs>& x0,
37 const Eigen::Ref<const VectorXs>& x1,
38 Eigen::Ref<VectorXs> dxout)
const override;
39 virtual void integrate(
const Eigen::Ref<const VectorXs>& x,
40 const Eigen::Ref<const VectorXs>& dx,
41 Eigen::Ref<VectorXs> xout)
const override;
57 virtual void Jdiff(
const Eigen::Ref<const VectorXs>& x0,
58 const Eigen::Ref<const VectorXs>& x1,
59 Eigen::Ref<MatrixXs> Jfirst, Eigen::Ref<MatrixXs> Jsecond,
60 Jcomponent firstsecond = both)
const override;
76 virtual void Jintegrate(
const Eigen::Ref<const VectorXs>& x,
77 const Eigen::Ref<const VectorXs>& dx,
78 Eigen::Ref<MatrixXs> Jfirst,
79 Eigen::Ref<MatrixXs> Jsecond,
80 const Jcomponent firstsecond = both,
81 const AssignmentOp op = setto)
const override;
84 const Eigen::Ref<const VectorXs>& x,
const Eigen::Ref<const VectorXs>& dx,
85 Eigen::Ref<MatrixXs> Jin,
86 const Jcomponent firstsecond = both)
const override;
88 template <
typename NewScalar>
108 virtual void print(std::ostream& os)
const override;
111 std::shared_ptr<Base>
131 #include "crocoddyl/core/numdiff/state.hxx"
Abstract class for the state representation.
std::size_t nv_
Velocity dimension.
std::size_t nx_
State dimension.
bool has_limits_
Indicates whether any of the state limits is finite.
std::size_t nq_
Configuration dimension.
VectorXs lb_
Lower state limits.
VectorXs ub_
Upper state limits.
std::size_t ndx_
State rate dimension.
virtual void integrate(const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &dx, Eigen::Ref< VectorXs > xout) const override
Compute the state manifold integration.
virtual void Jdiff(const Eigen::Ref< const VectorXs > &x0, const Eigen::Ref< const VectorXs > &x1, Eigen::Ref< MatrixXs > Jfirst, Eigen::Ref< MatrixXs > Jsecond, Jcomponent firstsecond=both) const override
This computes the Jacobian of the diff method by finite differentiation:
const Scalar get_disturbance() const
Return the disturbance constant used in the numerical differentiation routine.
void set_disturbance(const Scalar disturbance)
Modify the disturbance constant used by the numerical differentiation routine.
virtual void Jintegrate(const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &dx, Eigen::Ref< MatrixXs > Jfirst, Eigen::Ref< MatrixXs > Jsecond, const Jcomponent firstsecond=both, const AssignmentOp op=setto) const override
This computes the Jacobian of the integrate method by finite differentiation:
virtual VectorXs rand() const override
Generate a random state.
virtual VectorXs zero() const override
Generate a zero state.
virtual void diff(const Eigen::Ref< const VectorXs > &x0, const Eigen::Ref< const VectorXs > &x1, Eigen::Ref< VectorXs > dxout) const override
Compute the state manifold differentiation.
virtual void JintegrateTransport(const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &dx, Eigen::Ref< MatrixXs > Jin, const Jcomponent firstsecond=both) const override
Parallel transport from integrate(x, dx) to x.
virtual void print(std::ostream &os) const override
Print relevant information of the state numdiff.