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File: | include/crocoddyl/core/numdiff/constraint.hpp |
Date: | 2025-03-26 19:23:43 |
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1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2020-2025, University of Edinburgh, Heriot-Watt University | ||
5 | // Copyright note valid unless otherwise stated in individual files. | ||
6 | // All rights reserved. | ||
7 | /////////////////////////////////////////////////////////////////////////////// | ||
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 | |||
16 | namespace crocoddyl { | ||
17 | |||
18 | /** | ||
19 | * @brief This class computes the numerical differentiation of a constraint | ||
20 | * model. | ||
21 | * | ||
22 | * It computes the Jacobian of the constraint model via numerical | ||
23 | * differentiation, i.e., \f$\mathbf{g_x}\f$, \f$\mathbf{g_u}\f$ and | ||
24 | * \f$\mathbf{h_x}\f$, \f$\mathbf{h_u}\f$, which denote the Jacobians of the | ||
25 | * inequality and equality constraints, respectively. | ||
26 | * | ||
27 | * \sa `ConstraintModelAbstractTpl()`, `calcDiff()` | ||
28 | */ | ||
29 | template <typename _Scalar> | ||
30 | class ConstraintModelNumDiffTpl : public ConstraintModelAbstractTpl<_Scalar> { | ||
31 | public: | ||
32 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
33 | ✗ | CROCODDYL_DERIVED_CAST(ConstraintModelBase, ConstraintModelNumDiffTpl) | |
34 | |||
35 | typedef _Scalar Scalar; | ||
36 | typedef ConstraintDataAbstractTpl<Scalar> ConstraintDataAbstract; | ||
37 | typedef ConstraintModelAbstractTpl<Scalar> Base; | ||
38 | typedef ConstraintDataNumDiffTpl<Scalar> Data; | ||
39 | typedef DataCollectorAbstractTpl<Scalar> DataCollectorAbstract; | ||
40 | typedef MathBaseTpl<Scalar> MathBase; | ||
41 | typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs; | ||
42 | typedef boost::function<void(const VectorXs&, const VectorXs&)> | ||
43 | ReevaluationFunction; | ||
44 | |||
45 | /** | ||
46 | * @brief Initialize the numdiff constraint model | ||
47 | * | ||
48 | * @param model | ||
49 | */ | ||
50 | explicit ConstraintModelNumDiffTpl(const std::shared_ptr<Base>& model); | ||
51 | |||
52 | /** | ||
53 | * @brief Initialize the numdiff constraint model | ||
54 | */ | ||
55 | 280 | virtual ~ConstraintModelNumDiffTpl() = default; | |
56 | |||
57 | /** | ||
58 | * @brief @copydoc ConstraintModelAbstract::calc() | ||
59 | */ | ||
60 | virtual void calc(const std::shared_ptr<ConstraintDataAbstract>& data, | ||
61 | const Eigen::Ref<const VectorXs>& x, | ||
62 | const Eigen::Ref<const VectorXs>& u) override; | ||
63 | |||
64 | /** | ||
65 | * @brief @copydoc ConstraintModelAbstract::calc(const | ||
66 | * std::shared_ptr<ConstraintDataAbstract>& data, const Eigen::Ref<const | ||
67 | * VectorXs>& x) | ||
68 | */ | ||
69 | virtual void calc(const std::shared_ptr<ConstraintDataAbstract>& data, | ||
70 | const Eigen::Ref<const VectorXs>& x) override; | ||
71 | |||
72 | /** | ||
73 | * @brief @copydoc ConstraintModelAbstract::calcDiff() | ||
74 | */ | ||
75 | virtual void calcDiff(const std::shared_ptr<ConstraintDataAbstract>& data, | ||
76 | const Eigen::Ref<const VectorXs>& x, | ||
77 | const Eigen::Ref<const VectorXs>& u) override; | ||
78 | |||
79 | /** | ||
80 | * @brief @copydoc ConstraintModelAbstract::calcDiff(const | ||
81 | * std::shared_ptr<ConstraintDataAbstract>& data, const Eigen::Ref<const | ||
82 | * VectorXs>& x) | ||
83 | */ | ||
84 | virtual void calcDiff(const std::shared_ptr<ConstraintDataAbstract>& data, | ||
85 | const Eigen::Ref<const VectorXs>& x) override; | ||
86 | |||
87 | /** | ||
88 | * @brief @copydoc Base::createData() | ||
89 | */ | ||
90 | virtual std::shared_ptr<ConstraintDataAbstract> createData( | ||
91 | DataCollectorAbstract* const data) override; | ||
92 | |||
93 | /** | ||
94 | * @brief Cast the constraint numdiff model to a different scalar type. | ||
95 | * | ||
96 | * It is useful for operations requiring different precision or scalar types. | ||
97 | * | ||
98 | * @tparam NewScalar The new scalar type to cast to. | ||
99 | * @return ConstraintModelNumDiffTpl<NewScalar> A constraint model with the | ||
100 | * new scalar type. | ||
101 | */ | ||
102 | template <typename NewScalar> | ||
103 | ConstraintModelNumDiffTpl<NewScalar> cast() const; | ||
104 | |||
105 | /** | ||
106 | * @brief Return the original constraint model | ||
107 | */ | ||
108 | const std::shared_ptr<Base>& get_model() const; | ||
109 | |||
110 | /** | ||
111 | * @brief Return the disturbance constant used by the numerical | ||
112 | * differentiation routine | ||
113 | */ | ||
114 | const Scalar get_disturbance() const; | ||
115 | |||
116 | /** | ||
117 | * @brief Modify the disturbance constant used by the numerical | ||
118 | * differentiation routine | ||
119 | */ | ||
120 | void set_disturbance(const Scalar disturbance); | ||
121 | |||
122 | /** | ||
123 | * @brief Register functions that updates the shared data computed for a | ||
124 | * system rollout The updated data is used to evaluate of the gradient and | ||
125 | * Hessian. | ||
126 | * | ||
127 | * @param reevals are the registered functions. | ||
128 | */ | ||
129 | void set_reevals(const std::vector<ReevaluationFunction>& reevals); | ||
130 | |||
131 | protected: | ||
132 | using Base::nu_; | ||
133 | using Base::state_; | ||
134 | using Base::unone_; | ||
135 | |||
136 | private: | ||
137 | /** | ||
138 | * @brief Make sure that when we finite difference the constraint model, the | ||
139 | * user does not face unknown behaviour because of the finite differencing of | ||
140 | * a quaternion around pi. For full discussions see issue | ||
141 | * https://gepgitlab.laas.fr/loco-3d/crocoddyl/issues/139 | ||
142 | * | ||
143 | * @param x is the state at which the check is performed. | ||
144 | */ | ||
145 | void assertStableStateFD(const Eigen::Ref<const VectorXs>& /*x*/); | ||
146 | |||
147 | std::shared_ptr<Base> model_; //!< Constraint model hat we want to apply | ||
148 | //!< the numerical differentiation | ||
149 | Scalar e_jac_; //!< Constant used for computing disturbances in Jacobian | ||
150 | //!< calculation | ||
151 | std::vector<ReevaluationFunction> | ||
152 | reevals_; //!< Functions that needs execution before calc or calcDiff | ||
153 | }; | ||
154 | |||
155 | template <typename _Scalar> | ||
156 | struct ConstraintDataNumDiffTpl : public ConstraintDataAbstractTpl<_Scalar> { | ||
157 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
158 | |||
159 | typedef _Scalar Scalar; | ||
160 | typedef MathBaseTpl<Scalar> MathBase; | ||
161 | typedef ConstraintDataAbstractTpl<Scalar> Base; | ||
162 | typedef DataCollectorAbstractTpl<Scalar> DataCollectorAbstract; | ||
163 | typedef ActivationDataAbstractTpl<Scalar> ActivationDataAbstract; | ||
164 | typedef typename MathBaseTpl<Scalar>::VectorXs VectorXs; | ||
165 | |||
166 | template <template <typename Scalar> class Model> | ||
167 | 280 | explicit ConstraintDataNumDiffTpl(Model<Scalar>* const model, | |
168 | DataCollectorAbstract* const shared_data) | ||
169 | : Base(model, shared_data), | ||
170 |
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280 | dx(model->get_state()->get_ndx()), |
171 |
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280 | xp(model->get_state()->get_nx()), |
172 |
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280 | du(model->get_nu()), |
173 |
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560 | up(model->get_nu()) { |
174 |
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280 | dx.setZero(); |
175 |
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280 | xp.setZero(); |
176 |
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280 | du.setZero(); |
177 |
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280 | up.setZero(); |
178 | |||
179 |
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280 | const std::size_t& ndx = model->get_model()->get_state()->get_ndx(); |
180 |
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280 | const std::size_t& nu = model->get_model()->get_nu(); |
181 |
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280 | data_0 = model->get_model()->createData(shared_data); |
182 |
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11704 | for (std::size_t i = 0; i < ndx; ++i) { |
183 |
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11424 | data_x.push_back(model->get_model()->createData(shared_data)); |
184 | } | ||
185 |
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5992 | for (std::size_t i = 0; i < nu; ++i) { |
186 |
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5712 | data_u.push_back(model->get_model()->createData(shared_data)); |
187 | } | ||
188 | } | ||
189 | |||
190 | 280 | virtual ~ConstraintDataNumDiffTpl() {} | |
191 | |||
192 | using Base::Gu; | ||
193 | using Base::Gx; | ||
194 | using Base::Hu; | ||
195 | using Base::Hx; | ||
196 | using Base::shared; | ||
197 | |||
198 | Scalar x_norm; //!< Norm of the state vector | ||
199 | Scalar | ||
200 | xh_jac; //!< Disturbance value used for computing \f$ \ell_\mathbf{x} \f$ | ||
201 | Scalar | ||
202 | uh_jac; //!< Disturbance value used for computing \f$ \ell_\mathbf{u} \f$ | ||
203 | VectorXs dx; //!< State disturbance. | ||
204 | VectorXs xp; //!< The integrated state from the disturbance on one DoF "\f$ | ||
205 | //!< \int x dx_i \f$". | ||
206 | VectorXs du; //!< Control disturbance. | ||
207 | VectorXs up; //!< The integrated control from the disturbance on one DoF "\f$ | ||
208 | //!< \int u du_i = u + du \f$". | ||
209 | std::shared_ptr<Base> data_0; //!< The data at the approximation point. | ||
210 | std::vector<std::shared_ptr<Base> > | ||
211 | data_x; //!< The temporary data associated with the state variation. | ||
212 | std::vector<std::shared_ptr<Base> > | ||
213 | data_u; //!< The temporary data associated with the control variation. | ||
214 | }; | ||
215 | |||
216 | } // namespace crocoddyl | ||
217 | |||
218 | /* --- Details -------------------------------------------------------------- */ | ||
219 | /* --- Details -------------------------------------------------------------- */ | ||
220 | /* --- Details -------------------------------------------------------------- */ | ||
221 | #include "crocoddyl/core/numdiff/constraint.hxx" | ||
222 | |||
223 | #endif // CROCODDYL_CORE_NUMDIFF_CONSTRAINT_HPP_ | ||
224 |