10 #ifndef CROCODDYL_CORE_CONTROL_BASE_HPP_
11 #define CROCODDYL_CORE_CONTROL_BASE_HPP_
13 #include <boost/shared_ptr.hpp>
15 #include "crocoddyl/core/fwd.hpp"
16 #include "crocoddyl/core/mathbase.hpp"
17 #include "crocoddyl/core/utils/exception.hpp"
43 template <
typename _Scalar>
46 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
48 typedef _Scalar Scalar;
52 typedef typename MathBase::VectorXs VectorXs;
53 typedef typename MathBase::MatrixXs MatrixXs;
62 const std::size_t nu);
73 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
74 const Scalar t,
const Eigen::Ref<const VectorXs>& u)
const = 0;
87 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
88 const Scalar t,
const Eigen::Ref<const VectorXs>& u)
const = 0;
95 virtual boost::shared_ptr<ControlParametrizationDataAbstract>
createData();
106 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
107 const Scalar t,
const Eigen::Ref<const VectorXs>& w)
const = 0;
119 const Eigen::Ref<const VectorXs>& w_ub,
120 Eigen::Ref<VectorXs> u_lb,
121 Eigen::Ref<VectorXs> u_ub)
const = 0;
137 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
138 const Eigen::Ref<const MatrixXs>& A, Eigen::Ref<MatrixXs> out,
139 const AssignmentOp op = setto)
const = 0;
141 virtual MatrixXs multiplyByJacobian_J(
142 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
143 const Eigen::Ref<const MatrixXs>& A,
const AssignmentOp op = setto)
const;
160 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
161 const Eigen::Ref<const MatrixXs>& A, Eigen::Ref<MatrixXs> out,
162 const AssignmentOp op = setto)
const = 0;
164 virtual MatrixXs multiplyJacobianTransposeBy_J(
165 const boost::shared_ptr<ControlParametrizationDataAbstract>& data,
166 const Eigen::Ref<const MatrixXs>& A,
const AssignmentOp op = setto)
const;
172 const boost::shared_ptr<ControlParametrizationDataAbstract>& data);
189 template <
typename _Scalar>
191 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
193 typedef _Scalar Scalar;
195 typedef typename MathBase::VectorXs VectorXs;
196 typedef typename MathBase::MatrixXs MatrixXs;
198 template <
template <
typename Scalar>
class Model>
200 :
w(model->get_nw()),
202 dw_du(model->get_nw(), model->get_nu()) {
220 #include "crocoddyl/core/control-base.hxx"
Abstract class for the control trajectory parametrization.
std::size_t nw_
Control dimension.
virtual void params(const boost::shared_ptr< ControlParametrizationDataAbstract > &data, const Scalar t, const Eigen::Ref< const VectorXs > &w) const =0
Update the control parameters u for a specified time t given the control input w.
ControlParametrizationModelAbstractTpl(const std::size_t nw, const std::size_t nu)
Initialize the control dimensions.
virtual void multiplyJacobianTransposeBy(const boost::shared_ptr< ControlParametrizationDataAbstract > &data, const Eigen::Ref< const MatrixXs > &A, Eigen::Ref< MatrixXs > out, const AssignmentOp op=setto) const =0
Compute the product between the transpose of the derivative of the control input with respect to the ...
virtual bool checkData(const boost::shared_ptr< ControlParametrizationDataAbstract > &data)
Checks that a specific data belongs to this model.
virtual void calc(const boost::shared_ptr< ControlParametrizationDataAbstract > &data, const Scalar t, const Eigen::Ref< const VectorXs > &u) const =0
Get the value of the control at the specified time.
virtual void calcDiff(const boost::shared_ptr< ControlParametrizationDataAbstract > &data, const Scalar t, const Eigen::Ref< const VectorXs > &u) const =0
Get the value of the Jacobian of the control with respect to the parameters.
std::size_t nu_
Control parameters dimension.
std::size_t get_nw() const
Return the dimension of the control inputs.
virtual void convertBounds(const Eigen::Ref< const VectorXs > &w_lb, const Eigen::Ref< const VectorXs > &w_ub, Eigen::Ref< VectorXs > u_lb, Eigen::Ref< VectorXs > u_ub) const =0
Convert the bounds on the control inputs w to bounds on the control parameters u.
virtual boost::shared_ptr< ControlParametrizationDataAbstract > createData()
Create the control-parametrization data.
std::size_t get_nu() const
Return the dimension of control parameters.
virtual void multiplyByJacobian(const boost::shared_ptr< ControlParametrizationDataAbstract > &data, const Eigen::Ref< const MatrixXs > &A, Eigen::Ref< MatrixXs > out, const AssignmentOp op=setto) const =0
Compute the product between the given matrix A and the derivative of the control input with respect t...
VectorXs w
value of the differential control
VectorXs u
value of the control parameters