Directory: | ./ |
---|---|
File: | include/crocoddyl/core/residual-base.hpp |
Date: | 2025-03-26 19:23:43 |
Exec | Total | Coverage | |
---|---|---|---|
Lines: | 16 | 25 | 64.0% |
Branches: | 20 | 46 | 43.5% |
Line | Branch | Exec | Source |
---|---|---|---|
1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2021-2025, 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_RESIDUAL_BASE_HPP_ | ||
10 | #define CROCODDYL_CORE_RESIDUAL_BASE_HPP_ | ||
11 | |||
12 | #include <memory> | ||
13 | |||
14 | #include "crocoddyl/core/activation-base.hpp" | ||
15 | #include "crocoddyl/core/cost-base.hpp" | ||
16 | #include "crocoddyl/core/data-collector-base.hpp" | ||
17 | #include "crocoddyl/core/fwd.hpp" | ||
18 | #include "crocoddyl/core/state-base.hpp" | ||
19 | |||
20 | namespace crocoddyl { | ||
21 | |||
22 | class ResidualModelBase { | ||
23 | public: | ||
24 | 22710 | virtual ~ResidualModelBase() = default; | |
25 | |||
26 | ✗ | CROCODDYL_BASE_CAST(ResidualModelBase, ResidualModelAbstractTpl) | |
27 | }; | ||
28 | |||
29 | /** | ||
30 | * @brief Abstract class for residual models | ||
31 | * | ||
32 | * A residual model defines a vector function \f$\mathbf{r}(\mathbf{x}, | ||
33 | * \mathbf{u})\mathbb{R}^{nr}\f$ where `nr` describes its dimension in the | ||
34 | * Euclidean space. This function depends on the state point | ||
35 | * \f$\mathbf{x}\in\mathcal{X}\f$, which lies in the state manifold described | ||
36 | * with a `nq`-tuple, its velocity \f$\dot{\mathbf{x}}\in | ||
37 | * T_{\mathbf{x}}\mathcal{X}\f$ that belongs to the tangent space with `nv` | ||
38 | * dimension, and the control input \f$\mathbf{u}\in\mathbb{R}^{nu}\f$. The | ||
39 | * residual function can used across cost and constraint models. | ||
40 | * | ||
41 | * The main computations are carring out in `calc` and `calcDiff` routines. | ||
42 | * `calc` computes the residual vector and `calcDiff` computes the Jacobians of | ||
43 | * the residual function. Additionally, it is important to note that | ||
44 | * `calcDiff()` computes the Jacobians using the latest stored values by | ||
45 | * `calc()`. Thus, we need to first run `calc()`. | ||
46 | * | ||
47 | * \sa `StateAbstractTpl`, `calc()`, `calcDiff()`, `createData()` | ||
48 | */ | ||
49 | template <typename _Scalar> | ||
50 | class ResidualModelAbstractTpl : public ResidualModelBase { | ||
51 | public: | ||
52 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
53 | ✗ | CROCODDYL_BASE_DERIVED_CAST(ResidualModelBase, ResidualModelAbstractTpl) | |
54 | |||
55 | typedef _Scalar Scalar; | ||
56 | typedef MathBaseTpl<Scalar> MathBase; | ||
57 | typedef ResidualDataAbstractTpl<Scalar> ResidualDataAbstract; | ||
58 | typedef CostDataAbstractTpl<Scalar> CostDataAbstract; | ||
59 | typedef ActivationDataAbstractTpl<Scalar> ActivationDataAbstract; | ||
60 | typedef StateAbstractTpl<Scalar> StateAbstract; | ||
61 | typedef DataCollectorAbstractTpl<Scalar> DataCollectorAbstract; | ||
62 | typedef typename MathBase::VectorXs VectorXs; | ||
63 | typedef typename MathBase::MatrixXs MatrixXs; | ||
64 | typedef typename MathBase::DiagonalMatrixXs DiagonalMatrixXs; | ||
65 | |||
66 | /** | ||
67 | * @brief Initialize the residual model | ||
68 | * | ||
69 | * @param[in] state State of the system | ||
70 | * @param[in] nr Dimension of residual vector | ||
71 | * @param[in] nu Dimension of control vector | ||
72 | * @param[in] q_dependent Define if the residual function depends on q | ||
73 | * (default true) | ||
74 | * @param[in] v_dependent Define if the residual function depends on v | ||
75 | * (default true) | ||
76 | * @param[in] u_dependent Define if the residual function depends on u | ||
77 | * (default true) | ||
78 | */ | ||
79 | ResidualModelAbstractTpl(std::shared_ptr<StateAbstract> state, | ||
80 | const std::size_t nr, const std::size_t nu, | ||
81 | const bool q_dependent = true, | ||
82 | const bool v_dependent = true, | ||
83 | const bool u_dependent = true); | ||
84 | |||
85 | /** | ||
86 | * @copybrief ResidualModelAbstractTpl() | ||
87 | * | ||
88 | * The default `nu` value is obtained from `StateAbstractTpl::get_nv()`. | ||
89 | * | ||
90 | * @param[in] state State of the system | ||
91 | * @param[in] nr Dimension of residual vector | ||
92 | * @param[in] q_dependent Define if the residual function depends on q | ||
93 | * (default true) | ||
94 | * @param[in] v_dependent Define if the residual function depends on v | ||
95 | * (default true) | ||
96 | * @param[in] u_dependent Define if the residual function depends on u | ||
97 | * (default true) | ||
98 | */ | ||
99 | ResidualModelAbstractTpl(std::shared_ptr<StateAbstract> state, | ||
100 | const std::size_t nr, const bool q_dependent = true, | ||
101 | const bool v_dependent = true, | ||
102 | const bool u_dependent = true); | ||
103 | 22710 | virtual ~ResidualModelAbstractTpl() = default; | |
104 | |||
105 | /** | ||
106 | * @brief Compute the residual vector | ||
107 | * | ||
108 | * @param[in] data Residual data | ||
109 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
110 | * @param[in] u Control input \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
111 | */ | ||
112 | virtual void calc(const std::shared_ptr<ResidualDataAbstract>& data, | ||
113 | const Eigen::Ref<const VectorXs>& x, | ||
114 | const Eigen::Ref<const VectorXs>& u); | ||
115 | |||
116 | /** | ||
117 | * @brief Compute the residual vector for nodes that depends only on the state | ||
118 | * | ||
119 | * It updates the residual vector based on the state only. This function is | ||
120 | * used in the terminal nodes of an optimal control problem. | ||
121 | * | ||
122 | * @param[in] data Residual data | ||
123 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
124 | */ | ||
125 | virtual void calc(const std::shared_ptr<ResidualDataAbstract>& data, | ||
126 | const Eigen::Ref<const VectorXs>& x); | ||
127 | |||
128 | /** | ||
129 | * @brief Compute the Jacobian of the residual vector | ||
130 | * | ||
131 | * It computes the Jacobian the residual function. It assumes that `calc()` | ||
132 | * has been run first. | ||
133 | * | ||
134 | * @param[in] data Residual data | ||
135 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
136 | * @param[in] u Control input \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
137 | */ | ||
138 | virtual void calcDiff(const std::shared_ptr<ResidualDataAbstract>& data, | ||
139 | const Eigen::Ref<const VectorXs>& x, | ||
140 | const Eigen::Ref<const VectorXs>& u); | ||
141 | |||
142 | /** | ||
143 | * @brief Compute the Jacobian of the residual functions with respect to the | ||
144 | * state only | ||
145 | * | ||
146 | * It updates the Jacobian of the residual function based on the state only. | ||
147 | * This function is used in the terminal nodes of an optimal control problem. | ||
148 | * | ||
149 | * @param[in] data Residual data | ||
150 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
151 | */ | ||
152 | virtual void calcDiff(const std::shared_ptr<ResidualDataAbstract>& data, | ||
153 | const Eigen::Ref<const VectorXs>& x); | ||
154 | |||
155 | /** | ||
156 | * @brief Create the residual data | ||
157 | * | ||
158 | * The default data contains objects to store the values of the residual | ||
159 | * vector and their Jacobians. However, it is possible to specialize this | ||
160 | * function if we need to create additional data, for instance, to avoid | ||
161 | * dynamic memory allocation. | ||
162 | * | ||
163 | * @param data Data collector | ||
164 | * @return the residual data | ||
165 | */ | ||
166 | virtual std::shared_ptr<ResidualDataAbstract> createData( | ||
167 | DataCollectorAbstract* const data); | ||
168 | |||
169 | /** | ||
170 | * @brief Compute the derivative of the cost function | ||
171 | * | ||
172 | * This function assumes that the derivatives of the activation and residual | ||
173 | * are computed via calcDiff functions. | ||
174 | * | ||
175 | * @param cdata Cost data | ||
176 | * @param rdata Residual data | ||
177 | * @param adata Activation data | ||
178 | * @param update_u Update the derivative of the cost function w.r.t. to the | ||
179 | * control if True. | ||
180 | */ | ||
181 | virtual void calcCostDiff( | ||
182 | const std::shared_ptr<CostDataAbstract>& cdata, | ||
183 | const std::shared_ptr<ResidualDataAbstract>& rdata, | ||
184 | const std::shared_ptr<ActivationDataAbstract>& adata, | ||
185 | const bool update_u = true); | ||
186 | |||
187 | /** | ||
188 | * @brief Return the state | ||
189 | */ | ||
190 | const std::shared_ptr<StateAbstract>& get_state() const; | ||
191 | |||
192 | /** | ||
193 | * @brief Return the dimension of the residual vector | ||
194 | */ | ||
195 | std::size_t get_nr() const; | ||
196 | |||
197 | /** | ||
198 | * @brief Return the dimension of the control input | ||
199 | */ | ||
200 | std::size_t get_nu() const; | ||
201 | |||
202 | /** | ||
203 | * @brief Return true if the residual function depends on q | ||
204 | */ | ||
205 | bool get_q_dependent() const; | ||
206 | |||
207 | /** | ||
208 | * @brief Return true if the residual function depends on v | ||
209 | */ | ||
210 | bool get_v_dependent() const; | ||
211 | |||
212 | /** | ||
213 | * @brief Return true if the residual function depends on u | ||
214 | */ | ||
215 | bool get_u_dependent() const; | ||
216 | |||
217 | /** | ||
218 | * @brief Print information on the residual model | ||
219 | */ | ||
220 | template <class Scalar> | ||
221 | friend std::ostream& operator<<( | ||
222 | std::ostream& os, const ResidualModelAbstractTpl<Scalar>& model); | ||
223 | |||
224 | /** | ||
225 | * @brief Print relevant information of the residual model | ||
226 | * | ||
227 | * @param[out] os Output stream object | ||
228 | */ | ||
229 | virtual void print(std::ostream& os) const; | ||
230 | |||
231 | protected: | ||
232 | std::shared_ptr<StateAbstract> state_; //!< State description | ||
233 | std::size_t nr_; //!< Residual vector dimension | ||
234 | std::size_t nu_; //!< Control dimension | ||
235 | VectorXs unone_; //!< No control vector | ||
236 | bool q_dependent_; //!< Label that indicates if the residual function depends | ||
237 | //!< on q | ||
238 | bool v_dependent_; //!< Label that indicates if the residual function depends | ||
239 | //!< on v | ||
240 | bool u_dependent_; //!< Label that indicates if the residual function depends | ||
241 | //!< on u | ||
242 | ✗ | ResidualModelAbstractTpl() | |
243 | ✗ | : state_(nullptr), | |
244 | ✗ | nr_(0), | |
245 | ✗ | nu_(0), | |
246 | ✗ | q_dependent_(false), | |
247 | ✗ | v_dependent_(false), | |
248 | ✗ | u_dependent_(false) {}; | |
249 | }; | ||
250 | |||
251 | template <typename _Scalar> | ||
252 | struct ResidualDataAbstractTpl { | ||
253 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
254 | |||
255 | typedef _Scalar Scalar; | ||
256 | typedef MathBaseTpl<Scalar> MathBase; | ||
257 | typedef DataCollectorAbstractTpl<Scalar> DataCollectorAbstract; | ||
258 | typedef typename MathBase::VectorXs VectorXs; | ||
259 | typedef typename MathBase::MatrixXs MatrixXs; | ||
260 | |||
261 | template <template <typename Scalar> class Model> | ||
262 | 729690 | ResidualDataAbstractTpl(Model<Scalar>* const model, | |
263 | DataCollectorAbstract* const data) | ||
264 | 729690 | : shared(data), | |
265 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | r(model->get_nr()), |
266 |
4/8✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
✓ Branch 5 taken 728115 times.
✗ Branch 6 not taken.
✓ Branch 8 taken 728115 times.
✗ Branch 9 not taken.
✓ Branch 11 taken 728115 times.
✗ Branch 12 not taken.
|
729690 | Rx(model->get_nr(), model->get_state()->get_ndx()), |
267 |
3/6✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
✓ Branch 4 taken 728115 times.
✗ Branch 5 not taken.
✓ Branch 7 taken 728115 times.
✗ Branch 8 not taken.
|
729690 | Ru(model->get_nr(), model->get_nu()), |
268 |
4/8✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
✓ Branch 5 taken 728115 times.
✗ Branch 6 not taken.
✓ Branch 8 taken 728115 times.
✗ Branch 9 not taken.
✓ Branch 11 taken 728115 times.
✗ Branch 12 not taken.
|
729690 | Arr_Rx(model->get_nr(), model->get_state()->get_ndx()), |
269 |
3/6✓ Branch 2 taken 728115 times.
✗ Branch 3 not taken.
✓ Branch 5 taken 728115 times.
✗ Branch 6 not taken.
✓ Branch 8 taken 728115 times.
✗ Branch 9 not taken.
|
1459380 | Arr_Ru(model->get_nr(), model->get_nu()) { |
270 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | r.setZero(); |
271 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | Rx.setZero(); |
272 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | Ru.setZero(); |
273 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | Arr_Rx.setZero(); |
274 |
1/2✓ Branch 1 taken 728115 times.
✗ Branch 2 not taken.
|
729690 | Arr_Ru.setZero(); |
275 | 729690 | } | |
276 | 1432428 | virtual ~ResidualDataAbstractTpl() = default; | |
277 | |||
278 | DataCollectorAbstract* shared; //!< Shared data allocated by the action model | ||
279 | VectorXs r; //!< Residual vector | ||
280 | MatrixXs Rx; //!< Jacobian of the residual vector with respect the state | ||
281 | MatrixXs Ru; //!< Jacobian of the residual vector with respect the control | ||
282 | MatrixXs Arr_Rx; | ||
283 | MatrixXs Arr_Ru; | ||
284 | }; | ||
285 | |||
286 | } // namespace crocoddyl | ||
287 | |||
288 | /* --- Details -------------------------------------------------------------- */ | ||
289 | /* --- Details -------------------------------------------------------------- */ | ||
290 | /* --- Details -------------------------------------------------------------- */ | ||
291 | #include "crocoddyl/core/residual-base.hxx" | ||
292 | |||
293 | CROCODDYL_DECLARE_EXTERN_TEMPLATE_CLASS(crocoddyl::ResidualModelAbstractTpl) | ||
294 | CROCODDYL_DECLARE_EXTERN_TEMPLATE_STRUCT(crocoddyl::ResidualDataAbstractTpl) | ||
295 | |||
296 | #endif // CROCODDYL_CORE_RESIDUAL_BASE_HPP_ | ||
297 |