Crocoddyl
cost.hpp
1 // BSD 3-Clause License
3 //
4 // Copyright (C) 2019-2025, LAAS-CNRS, University of Edinburgh,
5 // Heriot-Watt University
6 // Copyright note valid unless otherwise stated in individual files.
7 // All rights reserved.
9 
10 #ifndef CROCODDYL_CORE_NUMDIFF_COST_HPP_
11 #define CROCODDYL_CORE_NUMDIFF_COST_HPP_
12 
13 #include <boost/function.hpp>
14 
15 #include "crocoddyl/core/cost-base.hpp"
16 #include "crocoddyl/multibody/fwd.hpp"
17 
18 namespace crocoddyl {
19 
31 template <typename _Scalar>
32 class CostModelNumDiffTpl : public CostModelAbstractTpl<_Scalar> {
33  public:
34  EIGEN_MAKE_ALIGNED_OPERATOR_NEW
35  CROCODDYL_DERIVED_CAST(CostModelBase, CostModelNumDiffTpl)
36 
37  typedef _Scalar Scalar;
43  typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
44  typedef typename MathBaseTpl<Scalar>::MatrixXs MatrixXs;
45  typedef boost::function<void(const VectorXs&, const VectorXs&)>
46  ReevaluationFunction;
47 
54  explicit CostModelNumDiffTpl(const std::shared_ptr<Base>& model);
55 
59  virtual ~CostModelNumDiffTpl() = default;
60 
64  virtual void calc(const std::shared_ptr<CostDataAbstract>& data,
65  const Eigen::Ref<const VectorXs>& x,
66  const Eigen::Ref<const VectorXs>& u) override;
67 
72  virtual void calc(const std::shared_ptr<CostDataAbstract>& data,
73  const Eigen::Ref<const VectorXs>& x) override;
74 
78  virtual void calcDiff(const std::shared_ptr<CostDataAbstract>& data,
79  const Eigen::Ref<const VectorXs>& x,
80  const Eigen::Ref<const VectorXs>& u) override;
81 
86  virtual void calcDiff(const std::shared_ptr<CostDataAbstract>& data,
87  const Eigen::Ref<const VectorXs>& x) override;
88 
95  virtual std::shared_ptr<CostDataAbstract> createData(
96  DataCollectorAbstract* const data) override;
97 
107  template <typename NewScalar>
109 
113  const std::shared_ptr<Base>& get_model() const;
114 
119  const Scalar get_disturbance() const;
120 
125  void set_disturbance(const Scalar disturbance);
126 
134 
142  void set_reevals(const std::vector<ReevaluationFunction>& reevals);
143 
144  protected:
145  using Base::activation_;
146  using Base::nu_;
147  using Base::state_;
148  using Base::unone_;
149 
150  private:
162  void assertStableStateFD(const Eigen::Ref<const VectorXs>& /*x*/);
163 
164  std::shared_ptr<Base> model_;
166  Scalar e_jac_;
168  std::vector<ReevaluationFunction>
169  reevals_;
170 };
171 
172 template <typename _Scalar>
173 struct CostDataNumDiffTpl : public CostDataAbstractTpl<_Scalar> {
174  EIGEN_MAKE_ALIGNED_OPERATOR_NEW
175 
176  typedef _Scalar Scalar;
181  typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
182 
189  template <template <typename Scalar> class Model>
190  explicit CostDataNumDiffTpl(Model<Scalar>* const model,
191  DataCollectorAbstract* const shared_data)
192  : Base(model, shared_data),
193  dx(model->get_state()->get_ndx()),
194  xp(model->get_state()->get_nx()),
195  du(model->get_nu()),
196  up(model->get_nu()) {
197  dx.setZero();
198  xp.setZero();
199  du.setZero();
200  up.setZero();
201 
202  const std::size_t ndx = model->get_model()->get_state()->get_ndx();
203  const std::size_t nu = model->get_model()->get_nu();
204  data_0 = model->get_model()->createData(shared_data);
205  for (std::size_t i = 0; i < ndx; ++i) {
206  data_x.push_back(model->get_model()->createData(shared_data));
207  }
208  for (std::size_t i = 0; i < nu; ++i) {
209  data_u.push_back(model->get_model()->createData(shared_data));
210  }
211  }
212 
213  virtual ~CostDataNumDiffTpl() = default;
214 
215  using Base::activation;
216  using Base::cost;
217  using Base::Lu;
218  using Base::Luu;
219  using Base::Lx;
220  using Base::Lxu;
221  using Base::Lxx;
222  using Base::residual;
223  using Base::shared;
224 
225  Scalar x_norm;
226  Scalar
228  Scalar
230  VectorXs dx;
231  VectorXs xp;
233  VectorXs du;
234  VectorXs up;
236  std::shared_ptr<Base> data_0;
237  std::vector<std::shared_ptr<Base> >
239  std::vector<std::shared_ptr<Base> >
241 };
242 
243 } // namespace crocoddyl
244 
245 /* --- Details -------------------------------------------------------------- */
246 /* --- Details -------------------------------------------------------------- */
247 /* --- Details -------------------------------------------------------------- */
248 #include "crocoddyl/core/numdiff/cost.hxx"
249 
250 CROCODDYL_DECLARE_EXTERN_TEMPLATE_CLASS(crocoddyl::CostModelNumDiffTpl)
251 CROCODDYL_DECLARE_EXTERN_TEMPLATE_STRUCT(crocoddyl::CostDataNumDiffTpl)
252 
253 #endif // CROCODDYL_CORE_NUMDIFF_COST_HPP_
Abstract class for cost models.
Definition: cost-base.hpp:64
std::shared_ptr< ActivationModelAbstract > activation_
Activation model.
Definition: cost-base.hpp:276
std::shared_ptr< StateAbstract > state_
State description.
Definition: cost-base.hpp:275
std::size_t nu_
Control dimension.
Definition: cost-base.hpp:278
VectorXs unone_
No control vector.
Definition: cost-base.hpp:279
This class computes the numerical differentiation of a cost model.
Definition: cost.hpp:32
const std::shared_ptr< Base > & get_model() const
Return the original cost model.
CostModelNumDiffTpl< NewScalar > cast() const
Cast the cost numdiff model to a different scalar type.
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.
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...
void set_disturbance(const Scalar disturbance)
Modify the disturbance constant used by the numerical differentiation routine.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x) override
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x) override
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u) override
Compute the Jacobian and Hessian of cost and its residual vector.
virtual std::shared_ptr< CostDataAbstract > createData(DataCollectorAbstract *const data) override
Create a numdiff cost data.
virtual ~CostModelNumDiffTpl()=default
Initialize the numdiff cost model.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u) override
Compute the cost value 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:225
std::vector< std::shared_ptr< Base > > data_x
The temporary data associated with the state variation.
Definition: cost.hpp:238
Scalar uh_jac
Disturbance value used for computing .
Definition: cost.hpp:229
std::vector< std::shared_ptr< Base > > data_u
The temporary data associated with the control variation.
Definition: cost.hpp:240
Scalar xh_jac
Disturbance value used for computing .
Definition: cost.hpp:227
VectorXs du
Control disturbance.
Definition: cost.hpp:233
std::shared_ptr< Base > data_0
The data at the approximation point.
Definition: cost.hpp:236
VectorXs dx
State disturbance.
Definition: cost.hpp:230
CostDataNumDiffTpl(Model< Scalar > *const model, DataCollectorAbstract *const shared_data)
Initialize the numdiff cost data.
Definition: cost.hpp:190