Crocoddyl
 
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constraint.hpp
1
2// BSD 3-Clause License
3//
4// Copyright (C) 2020-2023, University of Edinburgh, Heriot-Watt University
5// Copyright note valid unless otherwise stated in individual files.
6// All rights reserved.
8
9#ifndef CROCODDYL_CORE_NUMDIFF_CONSTRAINT_HPP_
10#define CROCODDYL_CORE_NUMDIFF_CONSTRAINT_HPP_
11
12#include <boost/function.hpp>
13
14#include "crocoddyl/core/constraint-base.hpp"
15
16namespace crocoddyl {
17
29template <typename _Scalar>
31 public:
32 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
33
34 typedef _Scalar Scalar;
40 typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
41 typedef boost::function<void(const VectorXs&, const VectorXs&)>
42 ReevaluationFunction;
43
49 explicit ConstraintModelNumDiffTpl(const std::shared_ptr<Base>& model);
50
55
59 virtual void calc(const std::shared_ptr<ConstraintDataAbstract>& data,
60 const Eigen::Ref<const VectorXs>& x,
61 const Eigen::Ref<const VectorXs>& u);
62
68 virtual void calc(const std::shared_ptr<ConstraintDataAbstract>& data,
69 const Eigen::Ref<const VectorXs>& x);
70
74 virtual void calcDiff(const std::shared_ptr<ConstraintDataAbstract>& data,
75 const Eigen::Ref<const VectorXs>& x,
76 const Eigen::Ref<const VectorXs>& u);
77
83 virtual void calcDiff(const std::shared_ptr<ConstraintDataAbstract>& data,
84 const Eigen::Ref<const VectorXs>& x);
85
89 virtual std::shared_ptr<ConstraintDataAbstract> createData(
90 DataCollectorAbstract* const data);
91
95 const std::shared_ptr<Base>& get_model() const;
96
101 const Scalar get_disturbance() const;
102
107 void set_disturbance(const Scalar disturbance);
108
116 void set_reevals(const std::vector<ReevaluationFunction>& reevals);
117
118 protected:
119 using Base::nu_;
120 using Base::state_;
121 using Base::unone_;
122
123 private:
132 void assertStableStateFD(const Eigen::Ref<const VectorXs>& /*x*/);
133
134 std::shared_ptr<Base> model_;
136 Scalar e_jac_;
138 std::vector<ReevaluationFunction>
139 reevals_;
140};
141
142template <typename _Scalar>
144 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
145
146 typedef _Scalar Scalar;
151 typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs;
152
153 template <template <typename Scalar> class Model>
154 explicit ConstraintDataNumDiffTpl(Model<Scalar>* const model,
155 DataCollectorAbstract* const shared_data)
156 : Base(model, shared_data),
157 dx(model->get_state()->get_ndx()),
158 xp(model->get_state()->get_nx()),
159 du(model->get_nu()),
160 up(model->get_nu()) {
161 dx.setZero();
162 xp.setZero();
163 du.setZero();
164 up.setZero();
165
166 const std::size_t& ndx = model->get_model()->get_state()->get_ndx();
167 const std::size_t& nu = model->get_model()->get_nu();
168 data_0 = model->get_model()->createData(shared_data);
169 for (std::size_t i = 0; i < ndx; ++i) {
170 data_x.push_back(model->get_model()->createData(shared_data));
171 }
172 for (std::size_t i = 0; i < nu; ++i) {
173 data_u.push_back(model->get_model()->createData(shared_data));
174 }
175 }
176
177 virtual ~ConstraintDataNumDiffTpl() {}
178
179 using Base::Gu;
180 using Base::Gx;
181 using Base::Hu;
182 using Base::Hx;
183 using Base::shared;
184
185 Scalar x_norm;
186 Scalar
188 Scalar
190 VectorXs dx;
191 VectorXs xp;
193 VectorXs du;
194 VectorXs up;
196 std::shared_ptr<Base> data_0;
197 std::vector<std::shared_ptr<Base> >
199 std::vector<std::shared_ptr<Base> >
201};
202
203} // namespace crocoddyl
204
205/* --- Details -------------------------------------------------------------- */
206/* --- Details -------------------------------------------------------------- */
207/* --- Details -------------------------------------------------------------- */
208#include "crocoddyl/core/numdiff/constraint.hxx"
209
210#endif // CROCODDYL_CORE_NUMDIFF_CONSTRAINT_HPP_
Abstract class for constraint models.
std::shared_ptr< StateAbstract > state_
State description.
std::size_t nu_
Control dimension.
This class computes the numerical differentiation of a constraint model.
const std::shared_ptr< Base > & get_model() const
Return the original constraint model.
virtual ~ConstraintModelNumDiffTpl()
Initialize the numdiff constraint model.
virtual void calc(const std::shared_ptr< ConstraintDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
const Scalar get_disturbance() const
Return the disturbance constant used by the numerical differentiation routine.
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 calcDiff(const std::shared_ptr< ConstraintDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the Jacobian of the constraint.
virtual void calcDiff(const std::shared_ptr< ConstraintDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
ConstraintModelNumDiffTpl(const std::shared_ptr< Base > &model)
Initialize the numdiff constraint model.
virtual std::shared_ptr< ConstraintDataAbstract > createData(DataCollectorAbstract *const data)
Create the constraint data.
virtual void calc(const std::shared_ptr< ConstraintDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the constraint value.
MatrixXs Gx
Jacobian of the inequality constraint.
MatrixXs Hx
Jacobian of the equality constraint.
MatrixXs Hu
Jacobian of the equality constraint.
DataCollectorAbstract * shared
Shared data.
MatrixXs Gu
Jacobian of the inequality constraint.
Scalar x_norm
Norm of the state vector.
std::vector< std::shared_ptr< Base > > data_x
The temporary data associated with the state variation.
Scalar uh_jac
Disturbance value used for computing .
std::vector< std::shared_ptr< Base > > data_u
The temporary data associated with the control variation.
Scalar xh_jac
Disturbance value used for computing .
VectorXs du
Control disturbance.
std::shared_ptr< Base > data_0
The data at the approximation point.
VectorXs dx
State disturbance.