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File: | include/crocoddyl/core/control-base.hpp |
Date: | 2025-02-24 23:41:29 |
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1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2021-2025, University of Edinburgh, University of Trento, | ||
5 | // Heriot-Watt University | ||
6 | // Copyright note valid unless otherwise stated in individual files. | ||
7 | // All rights reserved. | ||
8 | /////////////////////////////////////////////////////////////////////////////// | ||
9 | |||
10 | #ifndef CROCODDYL_CORE_CONTROL_BASE_HPP_ | ||
11 | #define CROCODDYL_CORE_CONTROL_BASE_HPP_ | ||
12 | |||
13 | #include <memory> | ||
14 | |||
15 | #include "crocoddyl/core/fwd.hpp" | ||
16 | #include "crocoddyl/core/mathbase.hpp" | ||
17 | #include "crocoddyl/core/utils/exception.hpp" | ||
18 | |||
19 | namespace crocoddyl { | ||
20 | |||
21 | /** | ||
22 | * @brief Abstract class for the control trajectory parametrization | ||
23 | * | ||
24 | * The control trajectory is a function of the (normalized) time. | ||
25 | * Normalized time is between 0 and 1, where 0 represents the beginning of the | ||
26 | * time step, and 1 represents its end. The trajectory depends on the control | ||
27 | * parameters u, whose size may be larger than the size of the control inputs w. | ||
28 | * | ||
29 | * The main computations are carried out in `calc`, `multiplyByJacobian` and | ||
30 | * `multiplyJacobianTransposeBy`, where the former computes control input | ||
31 | * \f$\mathbf{w}\in\mathbb{R}^{nw}\f$ from a set of control parameters | ||
32 | * \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ where `nw` and `nu` represent the | ||
33 | * dimension of the control inputs and parameters, respectively, and the latter | ||
34 | * defines useful operations across the Jacobian of the control-parametrization | ||
35 | * model. Finally, `params` allows us to obtain the control parameters from a | ||
36 | * the control input, i.e., it is the dual of `calc`. Note that | ||
37 | * `multiplyByJacobian` and `multiplyJacobianTransposeBy` requires to run `calc` | ||
38 | * first. | ||
39 | * | ||
40 | * \sa `calc()`, `calcDiff()`, `createData()`, `params`, `multiplyByJacobian`, | ||
41 | * `multiplyJacobianTransposeBy` | ||
42 | */ | ||
43 | template <typename _Scalar> | ||
44 | class ControlParametrizationModelAbstractTpl { | ||
45 | public: | ||
46 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
47 | |||
48 | typedef _Scalar Scalar; | ||
49 | typedef MathBaseTpl<Scalar> MathBase; | ||
50 | typedef ControlParametrizationDataAbstractTpl<Scalar> | ||
51 | ControlParametrizationDataAbstract; | ||
52 | typedef typename MathBase::VectorXs VectorXs; | ||
53 | typedef typename MathBase::MatrixXs MatrixXs; | ||
54 | |||
55 | /** | ||
56 | * @brief Initialize the control dimensions | ||
57 | * | ||
58 | * @param[in] nw Dimension of control inputs | ||
59 | * @param[in] nu Dimension of control parameters | ||
60 | */ | ||
61 | ControlParametrizationModelAbstractTpl(const std::size_t nw, | ||
62 | const std::size_t nu); | ||
63 | virtual ~ControlParametrizationModelAbstractTpl(); | ||
64 | |||
65 | /** | ||
66 | * @brief Get the value of the control at the specified time | ||
67 | * | ||
68 | * @param[in] data Data structure containing the control vector to write | ||
69 | * @param[in] t Time in [0,1] | ||
70 | * @param[in] u Control parameters | ||
71 | */ | ||
72 | virtual void calc( | ||
73 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
74 | const Scalar t, const Eigen::Ref<const VectorXs>& u) const = 0; | ||
75 | |||
76 | /** | ||
77 | * @brief Get the value of the Jacobian of the control with respect to the | ||
78 | * parameters | ||
79 | * | ||
80 | * It assumes that `calc()` has been run first | ||
81 | * | ||
82 | * @param[in] data Control-parametrization data | ||
83 | * @param[in] t Time in [0,1] | ||
84 | * @param[in] u Control parameters | ||
85 | */ | ||
86 | virtual void calcDiff( | ||
87 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
88 | const Scalar t, const Eigen::Ref<const VectorXs>& u) const = 0; | ||
89 | |||
90 | /** | ||
91 | * @brief Create the control-parametrization data | ||
92 | * | ||
93 | * @return the control-parametrization data | ||
94 | */ | ||
95 | virtual std::shared_ptr<ControlParametrizationDataAbstract> createData(); | ||
96 | |||
97 | /** | ||
98 | * @brief Update the control parameters u for a specified time t given the | ||
99 | * control input w | ||
100 | * | ||
101 | * @param[in] data Control-parametrization data | ||
102 | * @param[in] t Time in [0,1] | ||
103 | * @param[in] w Control inputs | ||
104 | */ | ||
105 | virtual void params( | ||
106 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
107 | const Scalar t, const Eigen::Ref<const VectorXs>& w) const = 0; | ||
108 | |||
109 | /** | ||
110 | * @brief Convert the bounds on the control inputs w to bounds on the control | ||
111 | * parameters u | ||
112 | * | ||
113 | * @param[in] w_lb Control lower bound | ||
114 | * @param[in] w_ub Control lower bound | ||
115 | * @param[out] u_lb Control parameters lower bound | ||
116 | * @param[out] u_ub Control parameters upper bound | ||
117 | */ | ||
118 | virtual void convertBounds(const Eigen::Ref<const VectorXs>& w_lb, | ||
119 | const Eigen::Ref<const VectorXs>& w_ub, | ||
120 | Eigen::Ref<VectorXs> u_lb, | ||
121 | Eigen::Ref<VectorXs> u_ub) const = 0; | ||
122 | |||
123 | /** | ||
124 | * @brief Compute the product between the given matrix A and the derivative of | ||
125 | * the control input with respect to the control parameters (i.e., A*dw_du). | ||
126 | * | ||
127 | * It assumes that `calc()` has been run first | ||
128 | * | ||
129 | * @param[in] data Control-parametrization data | ||
130 | * @param[in] A A matrix to multiply times the Jacobian | ||
131 | * @param[out] out Product between the matrix A and the Jacobian of the | ||
132 | * control with respect to the parameters | ||
133 | * @param[in] op Assignment operator which sets, adds, or removes the | ||
134 | * given results | ||
135 | */ | ||
136 | virtual void multiplyByJacobian( | ||
137 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
138 | const Eigen::Ref<const MatrixXs>& A, Eigen::Ref<MatrixXs> out, | ||
139 | const AssignmentOp op = setto) const = 0; | ||
140 | |||
141 | virtual MatrixXs multiplyByJacobian_J( | ||
142 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
143 | const Eigen::Ref<const MatrixXs>& A, const AssignmentOp op = setto) const; | ||
144 | |||
145 | /** | ||
146 | * @brief Compute the product between the transpose of the derivative of the | ||
147 | * control input with respect to the control parameters and a given matrix A | ||
148 | * (i.e., dw_du^T*A) | ||
149 | * | ||
150 | * It assumes that `calc()` has been run first | ||
151 | * | ||
152 | * @param[in] data Control-parametrization data | ||
153 | * @param[in] A A matrix to multiply times the Jacobian | ||
154 | * @param[out] out Product between the transposed Jacobian of the control | ||
155 | * with respect to the parameters and the matrix A | ||
156 | * @param[in] op Assignment operator which sets, adds, or removes the | ||
157 | * given results | ||
158 | */ | ||
159 | virtual void multiplyJacobianTransposeBy( | ||
160 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
161 | const Eigen::Ref<const MatrixXs>& A, Eigen::Ref<MatrixXs> out, | ||
162 | const AssignmentOp op = setto) const = 0; | ||
163 | |||
164 | virtual MatrixXs multiplyJacobianTransposeBy_J( | ||
165 | const std::shared_ptr<ControlParametrizationDataAbstract>& data, | ||
166 | const Eigen::Ref<const MatrixXs>& A, const AssignmentOp op = setto) const; | ||
167 | |||
168 | /** | ||
169 | * @brief Checks that a specific data belongs to this model | ||
170 | */ | ||
171 | virtual bool checkData( | ||
172 | const std::shared_ptr<ControlParametrizationDataAbstract>& data); | ||
173 | |||
174 | /** | ||
175 | * @brief Return the dimension of the control inputs | ||
176 | */ | ||
177 | std::size_t get_nw() const; | ||
178 | |||
179 | /** | ||
180 | * @brief Return the dimension of control parameters | ||
181 | */ | ||
182 | std::size_t get_nu() const; | ||
183 | |||
184 | protected: | ||
185 | std::size_t nw_; //!< Control dimension | ||
186 | std::size_t nu_; //!< Control parameters dimension | ||
187 | }; | ||
188 | |||
189 | template <typename _Scalar> | ||
190 | struct ControlParametrizationDataAbstractTpl { | ||
191 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
192 | |||
193 | typedef _Scalar Scalar; | ||
194 | typedef MathBaseTpl<Scalar> MathBase; | ||
195 | typedef typename MathBase::VectorXs VectorXs; | ||
196 | typedef typename MathBase::MatrixXs MatrixXs; | ||
197 | |||
198 | template <template <typename Scalar> class Model> | ||
199 | 210716 | explicit ControlParametrizationDataAbstractTpl(Model<Scalar>* const model) | |
200 |
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210716 | : w(model->get_nw()), |
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210716 | u(model->get_nu()), |
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421432 | dw_du(model->get_nw(), model->get_nu()) { |
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210716 | w.setZero(); |
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210716 | u.setZero(); |
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210716 | dw_du.setZero(); |
206 | } | ||
207 | 106270 | virtual ~ControlParametrizationDataAbstractTpl() {} | |
208 | |||
209 | VectorXs w; //!< value of the differential control | ||
210 | VectorXs u; //!< value of the control parameters | ||
211 | MatrixXs dw_du; //!< Jacobian of the differential control with respect to the | ||
212 | //!< parameters | ||
213 | }; | ||
214 | |||
215 | } // namespace crocoddyl | ||
216 | |||
217 | /* --- Details -------------------------------------------------------------- */ | ||
218 | /* --- Details -------------------------------------------------------------- */ | ||
219 | /* --- Details -------------------------------------------------------------- */ | ||
220 | #include "crocoddyl/core/control-base.hxx" | ||
221 | |||
222 | #endif // CROCODDYL_CORE_CONTROL_BASE_HPP_ | ||
223 |