| Directory: | ./ |
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| File: | include/crocoddyl/core/numdiff/diff-action.hpp |
| Date: | 2025-03-26 19:23:43 |
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| 1 | /////////////////////////////////////////////////////////////////////////////// | ||
| 2 | // BSD 3-Clause License | ||
| 3 | // | ||
| 4 | // Copyright (C) 2019-2025, LAAS-CNRS, University of Edinburgh, | ||
| 5 | // New York University, Max Planck Gesellschaft | ||
| 6 | // Heriot-Watt University | ||
| 7 | // Copyright note valid unless otherwise stated in individual files. | ||
| 8 | // All rights reserved. | ||
| 9 | /////////////////////////////////////////////////////////////////////////////// | ||
| 10 | |||
| 11 | #ifndef CROCODDYL_CORE_NUMDIFF_DIFF_ACTION_HPP_ | ||
| 12 | #define CROCODDYL_CORE_NUMDIFF_DIFF_ACTION_HPP_ | ||
| 13 | |||
| 14 | #include <iostream> | ||
| 15 | #include <vector> | ||
| 16 | |||
| 17 | #include "crocoddyl/core/diff-action-base.hpp" | ||
| 18 | |||
| 19 | namespace crocoddyl { | ||
| 20 | |||
| 21 | /** | ||
| 22 | * @brief This class computes the numerical differentiation of a differential | ||
| 23 | * action model. | ||
| 24 | * | ||
| 25 | * It computes the Jacobian of the cost, its residual and dynamics via numerical | ||
| 26 | * differentiation. It considers that the action model owns a cost residual and | ||
| 27 | * the cost is the square of this residual, i.e., | ||
| 28 | * \f$\ell(\mathbf{x},\mathbf{u})=\frac{1}{2}\|\mathbf{r}(\mathbf{x},\mathbf{u})\|^2\f$, | ||
| 29 | * where \f$\mathbf{r}(\mathbf{x},\mathbf{u})\f$ is the residual vector. The | ||
| 30 | * Hessian is computed only through the Gauss-Newton approximation, i.e., | ||
| 31 | * \f{eqnarray*}{ | ||
| 32 | * \mathbf{\ell}_\mathbf{xx} &=& \mathbf{R_x}^T\mathbf{R_x} \\ | ||
| 33 | * \mathbf{\ell}_\mathbf{uu} &=& \mathbf{R_u}^T\mathbf{R_u} \\ | ||
| 34 | * \mathbf{\ell}_\mathbf{xu} &=& \mathbf{R_x}^T\mathbf{R_u} | ||
| 35 | * \f} | ||
| 36 | * where the Jacobians of the cost residuals are denoted by \f$\mathbf{R_x}\f$ | ||
| 37 | * and \f$\mathbf{R_u}\f$. Note that this approximation ignores the tensor | ||
| 38 | * products (e.g., \f$\mathbf{R_{xx}}\mathbf{r}\f$). | ||
| 39 | * | ||
| 40 | * Finally, in the case that the cost does not have a residual, we set the | ||
| 41 | * Hessian to zero, i.e., \f$\mathbf{L_{xx}} = \mathbf{L_{xu}} = \mathbf{L_{uu}} | ||
| 42 | * = \mathbf{0}\f$. | ||
| 43 | * | ||
| 44 | * \sa `DifferentialActionModelAbstractTpl()`, `calcDiff()` | ||
| 45 | */ | ||
| 46 | template <typename _Scalar> | ||
| 47 | class DifferentialActionModelNumDiffTpl | ||
| 48 | : public DifferentialActionModelAbstractTpl<_Scalar> { | ||
| 49 | public: | ||
| 50 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
| 51 | ✗ | CROCODDYL_DERIVED_CAST(DifferentialActionModelBase, | |
| 52 | DifferentialActionModelNumDiffTpl) | ||
| 53 | |||
| 54 | typedef _Scalar Scalar; | ||
| 55 | typedef MathBaseTpl<Scalar> MathBase; | ||
| 56 | typedef DifferentialActionModelAbstractTpl<Scalar> Base; | ||
| 57 | typedef DifferentialActionDataNumDiffTpl<Scalar> Data; | ||
| 58 | typedef DifferentialActionDataAbstractTpl<Scalar> | ||
| 59 | DifferentialActionDataAbstract; | ||
| 60 | typedef typename MathBase::VectorXs VectorXs; | ||
| 61 | typedef typename MathBase::MatrixXs MatrixXs; | ||
| 62 | |||
| 63 | /** | ||
| 64 | * @brief Initialize the numdiff differential action model | ||
| 65 | * | ||
| 66 | * @param[in] model Differential action model that we want to | ||
| 67 | * apply the numerical differentiation | ||
| 68 | * @param[in] with_gauss_approx True if we want to use the Gauss | ||
| 69 | * approximation for computing the Hessians | ||
| 70 | */ | ||
| 71 | explicit DifferentialActionModelNumDiffTpl( | ||
| 72 | std::shared_ptr<Base> model, const bool with_gauss_approx = false); | ||
| 73 | 174 | virtual ~DifferentialActionModelNumDiffTpl() = default; | |
| 74 | |||
| 75 | /** | ||
| 76 | * @brief @copydoc Base::calc() | ||
| 77 | */ | ||
| 78 | virtual void calc(const std::shared_ptr<DifferentialActionDataAbstract>& data, | ||
| 79 | const Eigen::Ref<const VectorXs>& x, | ||
| 80 | const Eigen::Ref<const VectorXs>& u) override; | ||
| 81 | |||
| 82 | /** | ||
| 83 | * @brief @copydoc Base::calc(const | ||
| 84 | * std::shared_ptr<DifferentialActionDataAbstract>& data, const | ||
| 85 | * Eigen::Ref<const VectorXs>& x) | ||
| 86 | */ | ||
| 87 | virtual void calc(const std::shared_ptr<DifferentialActionDataAbstract>& data, | ||
| 88 | const Eigen::Ref<const VectorXs>& x) override; | ||
| 89 | |||
| 90 | /** | ||
| 91 | * @brief @copydoc Base::calcDiff() | ||
| 92 | */ | ||
| 93 | virtual void calcDiff( | ||
| 94 | const std::shared_ptr<DifferentialActionDataAbstract>& data, | ||
| 95 | const Eigen::Ref<const VectorXs>& x, | ||
| 96 | const Eigen::Ref<const VectorXs>& u) override; | ||
| 97 | |||
| 98 | /** | ||
| 99 | * @brief @copydoc Base::calcDiff(const | ||
| 100 | * std::shared_ptr<DifferentialActionDataAbstract>& data, const | ||
| 101 | * Eigen::Ref<const VectorXs>& x) | ||
| 102 | */ | ||
| 103 | virtual void calcDiff( | ||
| 104 | const std::shared_ptr<DifferentialActionDataAbstract>& data, | ||
| 105 | const Eigen::Ref<const VectorXs>& x) override; | ||
| 106 | |||
| 107 | /** | ||
| 108 | * @brief @copydoc Base::createData() | ||
| 109 | */ | ||
| 110 | virtual std::shared_ptr<DifferentialActionDataAbstract> createData() override; | ||
| 111 | |||
| 112 | /** | ||
| 113 | * @brief Cast the diff-action numdiff model to a different scalar type. | ||
| 114 | * | ||
| 115 | * It is useful for operations requiring different precision or scalar types. | ||
| 116 | * | ||
| 117 | * @tparam NewScalar The new scalar type to cast to. | ||
| 118 | * @return DifferentialActionModelNumDiffTpl<NewScalar> A differential-action | ||
| 119 | * model with the new scalar type. | ||
| 120 | */ | ||
| 121 | template <typename NewScalar> | ||
| 122 | DifferentialActionModelNumDiffTpl<NewScalar> cast() const; | ||
| 123 | |||
| 124 | /** | ||
| 125 | * @brief @copydoc Base::quasiStatic() | ||
| 126 | */ | ||
| 127 | virtual void quasiStatic( | ||
| 128 | const std::shared_ptr<DifferentialActionDataAbstract>& data, | ||
| 129 | Eigen::Ref<VectorXs> u, const Eigen::Ref<const VectorXs>& x, | ||
| 130 | const std::size_t maxiter = 100, | ||
| 131 | const Scalar tol = Scalar(1e-9)) override; | ||
| 132 | |||
| 133 | /** | ||
| 134 | * @brief Return the differential acton model that we use to numerical | ||
| 135 | * differentiate | ||
| 136 | */ | ||
| 137 | const std::shared_ptr<Base>& get_model() const; | ||
| 138 | |||
| 139 | /** | ||
| 140 | * @brief Return the disturbance constant used in the numerical | ||
| 141 | * differentiation routine | ||
| 142 | */ | ||
| 143 | const Scalar get_disturbance() const; | ||
| 144 | |||
| 145 | /** | ||
| 146 | * @brief Modify the disturbance constant used in the numerical | ||
| 147 | * differentiation routine | ||
| 148 | */ | ||
| 149 | void set_disturbance(const Scalar disturbance); | ||
| 150 | |||
| 151 | /** | ||
| 152 | * @brief Identify if the Gauss approximation is going to be used or not. | ||
| 153 | */ | ||
| 154 | bool get_with_gauss_approx(); | ||
| 155 | |||
| 156 | /** | ||
| 157 | * @brief Print relevant information of the action numdiff model | ||
| 158 | * | ||
| 159 | * @param[out] os Output stream object | ||
| 160 | */ | ||
| 161 | virtual void print(std::ostream& os) const override; | ||
| 162 | |||
| 163 | protected: | ||
| 164 | using Base::has_control_limits_; //!< Indicates whether any of the control | ||
| 165 | //!< limits | ||
| 166 | using Base::nr_; //!< Dimension of the cost residual | ||
| 167 | using Base::nu_; //!< Control dimension | ||
| 168 | using Base::state_; //!< Model of the state | ||
| 169 | using Base::u_lb_; //!< Lower control limits | ||
| 170 | using Base::u_ub_; //!< Upper control limits | ||
| 171 | |||
| 172 | private: | ||
| 173 | void assertStableStateFD(const Eigen::Ref<const VectorXs>& x); | ||
| 174 | std::shared_ptr<Base> model_; | ||
| 175 | bool with_gauss_approx_; | ||
| 176 | Scalar e_jac_; //!< Constant used for computing disturbances in Jacobian | ||
| 177 | //!< calculation | ||
| 178 | Scalar e_hess_; //!< Constant used for computing disturbances in Hessian | ||
| 179 | //!< calculation | ||
| 180 | }; | ||
| 181 | |||
| 182 | template <typename _Scalar> | ||
| 183 | struct DifferentialActionDataNumDiffTpl | ||
| 184 | : public DifferentialActionDataAbstractTpl<_Scalar> { | ||
| 185 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
| 186 | |||
| 187 | typedef _Scalar Scalar; | ||
| 188 | typedef MathBaseTpl<Scalar> MathBase; | ||
| 189 | typedef DifferentialActionDataAbstractTpl<Scalar> Base; | ||
| 190 | typedef typename MathBase::VectorXs VectorXs; | ||
| 191 | typedef typename MathBase::MatrixXs MatrixXs; | ||
| 192 | |||
| 193 | /** | ||
| 194 | * @brief Construct a new ActionDataNumDiff object | ||
| 195 | * | ||
| 196 | * @tparam Model is the type of the ActionModel. | ||
| 197 | * @param model is the object to compute the numerical differentiation from. | ||
| 198 | */ | ||
| 199 | template <template <typename Scalar> class Model> | ||
| 200 | 86 | explicit DifferentialActionDataNumDiffTpl(Model<Scalar>* const model) | |
| 201 | : Base(model), | ||
| 202 |
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86 | Rx(model->get_model()->get_nr(), |
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86 | model->get_model()->get_state()->get_ndx()), |
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86 | Ru(model->get_model()->get_nr(), model->get_model()->get_nu()), |
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86 | dx(model->get_model()->get_state()->get_ndx()), |
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86 | du(model->get_model()->get_nu()), |
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172 | xp(model->get_model()->get_state()->get_nx()) { |
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86 | Rx.setZero(); |
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86 | Ru.setZero(); |
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86 | dx.setZero(); |
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86 | du.setZero(); |
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86 | xp.setZero(); |
| 213 | |||
| 214 |
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86 | const std::size_t ndx = model->get_model()->get_state()->get_ndx(); |
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86 | const std::size_t nu = model->get_model()->get_nu(); |
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86 | data_0 = model->get_model()->createData(); |
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4682 | for (std::size_t i = 0; i < ndx; ++i) { |
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4596 | data_x.push_back(model->get_model()->createData()); |
| 219 | } | ||
| 220 |
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2046 | for (std::size_t i = 0; i < nu; ++i) { |
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1960 | data_u.push_back(model->get_model()->createData()); |
| 222 | } | ||
| 223 | 86 | } | |
| 224 | |||
| 225 | Scalar x_norm; //!< Norm of the state vector | ||
| 226 | Scalar | ||
| 227 | xh_jac; //!< Disturbance value used for computing \f$ \ell_\mathbf{x} \f$ | ||
| 228 | Scalar | ||
| 229 | uh_jac; //!< Disturbance value used for computing \f$ \ell_\mathbf{u} \f$ | ||
| 230 | Scalar xh_hess; //!< Disturbance value used for computing \f$ | ||
| 231 | //!< \ell_\mathbf{xx} \f$ | ||
| 232 | Scalar uh_hess; //!< Disturbance value used for computing \f$ | ||
| 233 | //!< \ell_\mathbf{uu} \f$ | ||
| 234 | Scalar xh_hess_pow2; | ||
| 235 | Scalar uh_hess_pow2; | ||
| 236 | Scalar xuh_hess_pow2; | ||
| 237 | MatrixXs Rx; | ||
| 238 | MatrixXs Ru; | ||
| 239 | VectorXs dx; | ||
| 240 | VectorXs du; | ||
| 241 | VectorXs xp; | ||
| 242 | std::shared_ptr<Base> data_0; | ||
| 243 | std::vector<std::shared_ptr<Base> > data_x; | ||
| 244 | std::vector<std::shared_ptr<Base> > data_u; | ||
| 245 | |||
| 246 | using Base::cost; | ||
| 247 | using Base::Fu; | ||
| 248 | using Base::Fx; | ||
| 249 | using Base::g; | ||
| 250 | using Base::Gu; | ||
| 251 | using Base::Gx; | ||
| 252 | using Base::h; | ||
| 253 | using Base::Hu; | ||
| 254 | using Base::Hx; | ||
| 255 | using Base::Lu; | ||
| 256 | using Base::Luu; | ||
| 257 | using Base::Lx; | ||
| 258 | using Base::Lxu; | ||
| 259 | using Base::Lxx; | ||
| 260 | using Base::r; | ||
| 261 | using Base::xout; | ||
| 262 | }; | ||
| 263 | |||
| 264 | } // namespace crocoddyl | ||
| 265 | |||
| 266 | /* --- Details -------------------------------------------------------------- */ | ||
| 267 | /* --- Details -------------------------------------------------------------- */ | ||
| 268 | /* --- Details -------------------------------------------------------------- */ | ||
| 269 | #include "crocoddyl/core/numdiff/diff-action.hxx" | ||
| 270 | |||
| 271 | CROCODDYL_DECLARE_EXTERN_TEMPLATE_CLASS( | ||
| 272 | crocoddyl::DifferentialActionModelNumDiffTpl) | ||
| 273 | CROCODDYL_DECLARE_EXTERN_TEMPLATE_STRUCT( | ||
| 274 | crocoddyl::DifferentialActionDataNumDiffTpl) | ||
| 275 | |||
| 276 | #endif // CROCODDYL_CORE_NUMDIFF_DIFF_ACTION_HPP_ | ||
| 277 |