Crocoddyl
 
Loading...
Searching...
No Matches
cost.hpp
1
2// BSD 3-Clause License
3//
4// Copyright (C) 2019-2023, LAAS-CNRS, University of Edinburgh, New York
5// University,
6// Max Planck Gesellschaft,
7// Heriot-Watt University
8// Copyright note valid unless otherwise stated in individual files.
9// All rights reserved.
11
12#ifndef CROCODDYL_CORE_NUMDIFF_COST_HPP_
13#define CROCODDYL_CORE_NUMDIFF_COST_HPP_
14
15#include <boost/function.hpp>
16
17#include "crocoddyl/core/cost-base.hpp"
18#include "crocoddyl/multibody/fwd.hpp"
19
20namespace crocoddyl {
21
33template <typename _Scalar>
35 public:
36 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
37
38 typedef _Scalar Scalar;
44 typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
45 typedef typename MathBaseTpl<Scalar>::MatrixXs MatrixXs;
46 typedef boost::function<void(const VectorXs&, const VectorXs&)>
47 ReevaluationFunction;
48
55 explicit CostModelNumDiffTpl(const std::shared_ptr<Base>& model);
56
61
65 virtual void calc(const std::shared_ptr<CostDataAbstract>& data,
66 const Eigen::Ref<const VectorXs>& x,
67 const Eigen::Ref<const VectorXs>& u);
68
73 virtual void calc(const std::shared_ptr<CostDataAbstract>& data,
74 const Eigen::Ref<const VectorXs>& x);
75
79 virtual void calcDiff(const std::shared_ptr<CostDataAbstract>& data,
80 const Eigen::Ref<const VectorXs>& x,
81 const Eigen::Ref<const VectorXs>& u);
82
87 virtual void calcDiff(const std::shared_ptr<CostDataAbstract>& data,
88 const Eigen::Ref<const VectorXs>& x);
89
96 virtual std::shared_ptr<CostDataAbstract> createData(
97 DataCollectorAbstract* const data);
98
102 const std::shared_ptr<Base>& get_model() const;
103
108 const Scalar get_disturbance() const;
109
114 void set_disturbance(const Scalar disturbance);
115
123
131 void set_reevals(const std::vector<ReevaluationFunction>& reevals);
132
133 protected:
134 using Base::activation_;
135 using Base::nu_;
136 using Base::state_;
137 using Base::unone_;
138
139 private:
151 void assertStableStateFD(const Eigen::Ref<const VectorXs>& /*x*/);
152
153 std::shared_ptr<Base> model_;
155 Scalar e_jac_;
157 std::vector<ReevaluationFunction>
158 reevals_;
159};
160
161template <typename _Scalar>
162struct CostDataNumDiffTpl : public CostDataAbstractTpl<_Scalar> {
163 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
164
165 typedef _Scalar Scalar;
170 typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
171
178 template <template <typename Scalar> class Model>
179 explicit CostDataNumDiffTpl(Model<Scalar>* const model,
180 DataCollectorAbstract* const shared_data)
181 : Base(model, shared_data),
182 dx(model->get_state()->get_ndx()),
183 xp(model->get_state()->get_nx()),
184 du(model->get_nu()),
185 up(model->get_nu()) {
186 dx.setZero();
187 xp.setZero();
188 du.setZero();
189 up.setZero();
190
191 const std::size_t ndx = model->get_model()->get_state()->get_ndx();
192 const std::size_t nu = model->get_model()->get_nu();
193 data_0 = model->get_model()->createData(shared_data);
194 for (std::size_t i = 0; i < ndx; ++i) {
195 data_x.push_back(model->get_model()->createData(shared_data));
196 }
197 for (std::size_t i = 0; i < nu; ++i) {
198 data_u.push_back(model->get_model()->createData(shared_data));
199 }
200 }
201
202 virtual ~CostDataNumDiffTpl() {}
203
204 using Base::activation;
205 using Base::cost;
206 using Base::Lu;
207 using Base::Luu;
208 using Base::Lx;
209 using Base::Lxu;
210 using Base::Lxx;
211 using Base::residual;
212 using Base::shared;
213
214 Scalar x_norm;
215 Scalar
217 Scalar
219 VectorXs dx;
220 VectorXs xp;
222 VectorXs du;
223 VectorXs up;
225 std::shared_ptr<Base> data_0;
226 std::vector<std::shared_ptr<Base> >
228 std::vector<std::shared_ptr<Base> >
230};
231
232} // namespace crocoddyl
233
234/* --- Details -------------------------------------------------------------- */
235/* --- Details -------------------------------------------------------------- */
236/* --- Details -------------------------------------------------------------- */
237#include "crocoddyl/core/numdiff/cost.hxx"
238
239#endif // CROCODDYL_CORE_NUMDIFF_COST_HPP_
Abstract class for cost models.
Definition cost-base.hpp:59
std::shared_ptr< ActivationModelAbstract > activation_
Activation model.
std::shared_ptr< StateAbstract > state_
State description.
std::size_t nu_
Control dimension.
VectorXs unone_
No control vector.
This class computes the numerical differentiation of a cost model.
Definition cost.hpp:34
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
const std::shared_ptr< Base > & get_model() const
Return the original cost model.
const Scalar get_disturbance() const
Return the disturbance constant used by the numerical differentiation routine.
bool get_with_gauss_approx()
Identify if the Gauss approximation is going to be used or not.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
void set_reevals(const std::vector< ReevaluationFunction > &reevals)
Register functions that updates the shared data computed for a system rollout The updated data is use...
virtual ~CostModelNumDiffTpl()
Initialize the numdiff cost model.
void set_disturbance(const Scalar disturbance)
Modify the disturbance constant used by the numerical differentiation routine.
virtual std::shared_ptr< CostDataAbstract > createData(DataCollectorAbstract *const data)
Create a numdiff cost data.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the cost value and its residual vector.
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the Jacobian and Hessian of cost and its residual vector.
CostModelNumDiffTpl(const std::shared_ptr< Base > &model)
Initialize the numdiff cost model.
Scalar x_norm
Norm of the state vector.
Definition cost.hpp:214
std::vector< std::shared_ptr< Base > > data_x
The temporary data associated with the state variation.
Definition cost.hpp:227
Scalar uh_jac
Disturbance value used for computing .
Definition cost.hpp:218
std::vector< std::shared_ptr< Base > > data_u
The temporary data associated with the control variation.
Definition cost.hpp:229
Scalar xh_jac
Disturbance value used for computing .
Definition cost.hpp:216
VectorXs du
Control disturbance.
Definition cost.hpp:222
std::shared_ptr< Base > data_0
The data at the approximation point.
Definition cost.hpp:225
VectorXs dx
State disturbance.
Definition cost.hpp:219
CostDataNumDiffTpl(Model< Scalar > *const model, DataCollectorAbstract *const shared_data)
Initialize the numdiff cost data.
Definition cost.hpp:179