| Line | Branch | Exec | Source | 
|---|---|---|---|
| 1 | /////////////////////////////////////////////////////////////////////////////// | ||
| 2 | // BSD 3-Clause License | ||
| 3 | // | ||
| 4 | // Copyright (C) 2019-2025, LAAS-CNRS, University of Edinburgh, | ||
| 5 | // Heriot-Watt University | ||
| 6 | // Copyright note valid unless otherwise stated in individual files. | ||
| 7 | // All rights reserved. | ||
| 8 | /////////////////////////////////////////////////////////////////////////////// | ||
| 9 | |||
| 10 | namespace crocoddyl { | ||
| 11 | |||
| 12 | template <typename Scalar> | ||
| 13 | ✗ | ActionModelLQRTpl<Scalar>::ActionModelLQRTpl(const MatrixXs& A, | |
| 14 | const MatrixXs& B, | ||
| 15 | const MatrixXs& Q, | ||
| 16 | const MatrixXs& R, | ||
| 17 | const MatrixXs& N) | ||
| 18 | ✗ | : Base(std::make_shared<StateVector>(A.cols()), B.cols(), 0), | |
| 19 | ✗ | drift_free_(true), | |
| 20 | ✗ | updated_lqr_(false) { | |
| 21 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 22 | ✗ | MatrixXs G = MatrixXs::Zero(ng_, nx + nu_); | |
| 23 | ✗ | MatrixXs H = MatrixXs::Zero(nh_, nx + nu_); | |
| 24 | ✗ | VectorXs f = VectorXs::Zero(nx); | |
| 25 | ✗ | VectorXs q = VectorXs::Zero(nx); | |
| 26 | ✗ | VectorXs r = VectorXs::Zero(nu_); | |
| 27 | ✗ | VectorXs g = VectorXs::Zero(ng_); | |
| 28 | ✗ | VectorXs h = VectorXs::Zero(nh_); | |
| 29 | ✗ | set_LQR(A, B, Q, R, N, G, H, f, q, r, g, h); | |
| 30 | ✗ | } | |
| 31 | |||
| 32 | template <typename Scalar> | ||
| 33 | ✗ | ActionModelLQRTpl<Scalar>::ActionModelLQRTpl( | |
| 34 | const MatrixXs& A, const MatrixXs& B, const MatrixXs& Q, const MatrixXs& R, | ||
| 35 | const MatrixXs& N, const VectorXs& f, const VectorXs& q, const VectorXs& r) | ||
| 36 | ✗ | : Base(std::make_shared<StateVector>(A.cols()), B.cols(), 0), | |
| 37 | ✗ | drift_free_(false), | |
| 38 | ✗ | updated_lqr_(false) { | |
| 39 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 40 | ✗ | MatrixXs G = MatrixXs::Zero(ng_, nx + nu_); | |
| 41 | ✗ | MatrixXs H = MatrixXs::Zero(ng_, nx + nu_); | |
| 42 | ✗ | VectorXs g = VectorXs::Zero(ng_); | |
| 43 | ✗ | VectorXs h = VectorXs::Zero(nh_); | |
| 44 | ✗ | set_LQR(A, B, Q, R, N, G, H, f, q, r, g, h); | |
| 45 | ✗ | } | |
| 46 | |||
| 47 | template <typename Scalar> | ||
| 48 | ✗ | ActionModelLQRTpl<Scalar>::ActionModelLQRTpl( | |
| 49 | const MatrixXs& A, const MatrixXs& B, const MatrixXs& Q, const MatrixXs& R, | ||
| 50 | const MatrixXs& N, const MatrixXs& G, const MatrixXs& H, const VectorXs& f, | ||
| 51 | const VectorXs& q, const VectorXs& r, const VectorXs& g, const VectorXs& h) | ||
| 52 | ✗ | : Base(std::make_shared<StateVector>(A.cols()), B.cols(), 0, G.rows(), | |
| 53 | ✗ | H.rows(), G.rows(), H.rows()), | |
| 54 | ✗ | drift_free_(false), | |
| 55 | ✗ | updated_lqr_(false) { | |
| 56 | ✗ | set_LQR(A, B, Q, R, N, G, H, f, q, r, g, h); | |
| 57 | ✗ | } | |
| 58 | |||
| 59 | template <typename Scalar> | ||
| 60 | ✗ | ActionModelLQRTpl<Scalar>::ActionModelLQRTpl(const std::size_t nx, | |
| 61 | const std::size_t nu, | ||
| 62 | const bool drift_free) | ||
| 63 | : Base(std::make_shared<StateVector>(nx), nu, 0), | ||
| 64 | ✗ | A_(MatrixXs::Identity(nx, nx)), | |
| 65 | ✗ | B_(MatrixXs::Identity(nx, nu)), | |
| 66 | ✗ | Q_(MatrixXs::Identity(nx, nx)), | |
| 67 | ✗ | R_(MatrixXs::Identity(nu, nu)), | |
| 68 | ✗ | N_(MatrixXs::Zero(nx, nu)), | |
| 69 | ✗ | G_(MatrixXs::Zero(0, nx + nu)), | |
| 70 | ✗ | H_(MatrixXs::Zero(0, nx + nu)), | |
| 71 | ✗ | f_(drift_free ? VectorXs::Zero(nx) : VectorXs::Ones(nx)), | |
| 72 | ✗ | q_(VectorXs::Ones(nx)), | |
| 73 | ✗ | r_(VectorXs::Ones(nu)), | |
| 74 | ✗ | g_(VectorXs::Zero(0)), | |
| 75 | ✗ | h_(VectorXs::Zero(0)), | |
| 76 | ✗ | drift_free_(drift_free) {} | |
| 77 | |||
| 78 | template <typename Scalar> | ||
| 79 | ✗ | ActionModelLQRTpl<Scalar>::ActionModelLQRTpl(const ActionModelLQRTpl& copy) | |
| 80 | ✗ | : Base(std::make_shared<StateVector>(copy.get_A().cols()), | |
| 81 | ✗ | copy.get_B().cols(), 0, copy.get_G().rows(), copy.get_H().rows(), | |
| 82 | ✗ | copy.get_G().rows(), copy.get_H().rows()), | |
| 83 | ✗ | drift_free_(false), | |
| 84 | ✗ | updated_lqr_(false) { | |
| 85 | ✗ | set_LQR(copy.get_A(), copy.get_B(), copy.get_Q(), copy.get_R(), copy.get_N(), | |
| 86 | ✗ | copy.get_G(), copy.get_H(), copy.get_f(), copy.get_q(), copy.get_r(), | |
| 87 | ✗ | copy.get_g(), copy.get_h()); | |
| 88 | ✗ | } | |
| 89 | |||
| 90 | template <typename Scalar> | ||
| 91 | ✗ | void ActionModelLQRTpl<Scalar>::calc( | |
| 92 | const std::shared_ptr<ActionDataAbstract>& data, | ||
| 93 | const Eigen::Ref<const VectorXs>& x, const Eigen::Ref<const VectorXs>& u) { | ||
| 94 | ✗ | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { | |
| 95 | ✗ | throw_pretty( | |
| 96 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
| 97 | std::to_string(state_->get_nx()) + ")"); | ||
| 98 | } | ||
| 99 | ✗ | if (static_cast<std::size_t>(u.size()) != nu_) { | |
| 100 | ✗ | throw_pretty( | |
| 101 | "Invalid argument: " << "u has wrong dimension (it should be " + | ||
| 102 | std::to_string(nu_) + ")"); | ||
| 103 | } | ||
| 104 | ✗ | Data* d = static_cast<Data*>(data.get()); | |
| 105 | |||
| 106 | ✗ | data->xnext.noalias() = A_ * x; | |
| 107 | ✗ | data->xnext.noalias() += B_ * u; | |
| 108 | ✗ | data->xnext += f_; | |
| 109 | |||
| 110 | // cost = 0.5 * x^T * Q * x + 0.5 * u^T * R * u + x^T * N * u + q^T * x + r^T | ||
| 111 | // * u | ||
| 112 | ✗ | d->Q_x_tmp.noalias() = Q_ * x; | |
| 113 | ✗ | data->cost = Scalar(0.5) * x.dot(d->Q_x_tmp); | |
| 114 | ✗ | d->R_u_tmp.noalias() = R_ * u; | |
| 115 | ✗ | data->cost += Scalar(0.5) * u.dot(d->R_u_tmp); | |
| 116 | ✗ | d->Q_x_tmp.noalias() = N_ * u; | |
| 117 | ✗ | data->cost += x.dot(d->Q_x_tmp); | |
| 118 | ✗ | data->cost += q_.dot(x); | |
| 119 | ✗ | data->cost += r_.dot(u); | |
| 120 | |||
| 121 | // constraints | ||
| 122 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 123 | ✗ | data->g.noalias() = G_.leftCols(nx) * x; | |
| 124 | ✗ | data->g.noalias() += G_.rightCols(nu_) * u; | |
| 125 | ✗ | data->g += g_; | |
| 126 | ✗ | data->h.noalias() = H_.leftCols(nx) * x; | |
| 127 | ✗ | data->h.noalias() += H_.rightCols(nu_) * u; | |
| 128 | ✗ | data->h += h_; | |
| 129 | ✗ | } | |
| 130 | |||
| 131 | template <typename Scalar> | ||
| 132 | ✗ | void ActionModelLQRTpl<Scalar>::calc( | |
| 133 | const std::shared_ptr<ActionDataAbstract>& data, | ||
| 134 | const Eigen::Ref<const VectorXs>& x) { | ||
| 135 | ✗ | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { | |
| 136 | ✗ | throw_pretty( | |
| 137 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
| 138 | std::to_string(state_->get_nx()) + ")"); | ||
| 139 | } | ||
| 140 | ✗ | Data* d = static_cast<Data*>(data.get()); | |
| 141 | |||
| 142 | ✗ | d->xnext = x; | |
| 143 | |||
| 144 | // cost = 0.5 * x^T * Q * x + q^T * x | ||
| 145 | ✗ | d->Q_x_tmp.noalias() = Q_ * x; | |
| 146 | ✗ | data->cost = Scalar(0.5) * x.dot(d->Q_x_tmp); | |
| 147 | ✗ | data->cost += q_.dot(x); | |
| 148 | |||
| 149 | // constraints | ||
| 150 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 151 | ✗ | data->g.noalias() = G_.leftCols(nx) * x; | |
| 152 | ✗ | data->g += g_; | |
| 153 | ✗ | data->h.noalias() = H_.leftCols(nx) * x; | |
| 154 | ✗ | data->h += h_; | |
| 155 | ✗ | } | |
| 156 | |||
| 157 | template <typename Scalar> | ||
| 158 | ✗ | void ActionModelLQRTpl<Scalar>::calcDiff( | |
| 159 | const std::shared_ptr<ActionDataAbstract>& data, | ||
| 160 | const Eigen::Ref<const VectorXs>& x, const Eigen::Ref<const VectorXs>& u) { | ||
| 161 | ✗ | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { | |
| 162 | ✗ | throw_pretty( | |
| 163 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
| 164 | std::to_string(state_->get_nx()) + ")"); | ||
| 165 | } | ||
| 166 | ✗ | if (static_cast<std::size_t>(u.size()) != nu_) { | |
| 167 | ✗ | throw_pretty( | |
| 168 | "Invalid argument: " << "u has wrong dimension (it should be " + | ||
| 169 | std::to_string(nu_) + ")"); | ||
| 170 | } | ||
| 171 | |||
| 172 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 173 | ✗ | if (!updated_lqr_) { | |
| 174 | ✗ | data->Fx = A_; | |
| 175 | ✗ | data->Fu = B_; | |
| 176 | ✗ | data->Lxx = Q_; | |
| 177 | ✗ | data->Luu = R_; | |
| 178 | ✗ | data->Lxu = N_; | |
| 179 | ✗ | data->Gx = G_.leftCols(nx); | |
| 180 | ✗ | data->Gu = G_.rightCols(nu_); | |
| 181 | ✗ | data->Hx = H_.leftCols(nx); | |
| 182 | ✗ | data->Hu = H_.rightCols(nu_); | |
| 183 | ✗ | updated_lqr_ = true; | |
| 184 | } | ||
| 185 | ✗ | data->Lx = q_; | |
| 186 | ✗ | data->Lx.noalias() += Q_ * x; | |
| 187 | ✗ | data->Lx.noalias() += N_ * u; | |
| 188 | ✗ | data->Lu = r_; | |
| 189 | ✗ | data->Lu.noalias() += N_.transpose() * x; | |
| 190 | ✗ | data->Lu.noalias() += R_ * u; | |
| 191 | ✗ | } | |
| 192 | |||
| 193 | template <typename Scalar> | ||
| 194 | ✗ | void ActionModelLQRTpl<Scalar>::calcDiff( | |
| 195 | const std::shared_ptr<ActionDataAbstract>& data, | ||
| 196 | const Eigen::Ref<const VectorXs>& x) { | ||
| 197 | ✗ | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { | |
| 198 | ✗ | throw_pretty( | |
| 199 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
| 200 | std::to_string(state_->get_nx()) + ")"); | ||
| 201 | } | ||
| 202 | |||
| 203 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 204 | ✗ | if (!updated_lqr_) { | |
| 205 | ✗ | data->Lxx = Q_; | |
| 206 | ✗ | data->Gx = G_.leftCols(nx); | |
| 207 | ✗ | data->Hx = H_.leftCols(nx); | |
| 208 | ✗ | updated_lqr_ = true; | |
| 209 | } | ||
| 210 | ✗ | data->Lx = q_; | |
| 211 | ✗ | data->Lx.noalias() += Q_ * x; | |
| 212 | ✗ | } | |
| 213 | |||
| 214 | template <typename Scalar> | ||
| 215 | std::shared_ptr<ActionDataAbstractTpl<Scalar>> | ||
| 216 | ✗ | ActionModelLQRTpl<Scalar>::createData() { | |
| 217 | ✗ | return std::allocate_shared<Data>(Eigen::aligned_allocator<Data>(), this); | |
| 218 | } | ||
| 219 | |||
| 220 | template <typename Scalar> | ||
| 221 | template <typename NewScalar> | ||
| 222 | ✗ | ActionModelLQRTpl<NewScalar> ActionModelLQRTpl<Scalar>::cast() const { | |
| 223 | typedef ActionModelLQRTpl<NewScalar> ReturnType; | ||
| 224 | ✗ | ReturnType ret(A_.template cast<NewScalar>(), B_.template cast<NewScalar>(), | |
| 225 | ✗ | Q_.template cast<NewScalar>(), R_.template cast<NewScalar>(), | |
| 226 | ✗ | N_.template cast<NewScalar>(), G_.template cast<NewScalar>(), | |
| 227 | ✗ | H_.template cast<NewScalar>(), f_.template cast<NewScalar>(), | |
| 228 | ✗ | q_.template cast<NewScalar>(), r_.template cast<NewScalar>(), | |
| 229 | ✗ | g_.template cast<NewScalar>(), h_.template cast<NewScalar>()); | |
| 230 | ✗ | return ret; | |
| 231 | } | ||
| 232 | |||
| 233 | template <typename Scalar> | ||
| 234 | ✗ | bool ActionModelLQRTpl<Scalar>::checkData( | |
| 235 | const std::shared_ptr<ActionDataAbstract>& data) { | ||
| 236 | ✗ | std::shared_ptr<Data> d = std::dynamic_pointer_cast<Data>(data); | |
| 237 | ✗ | if (d != NULL) { | |
| 238 | ✗ | return true; | |
| 239 | } else { | ||
| 240 | ✗ | return false; | |
| 241 | } | ||
| 242 | ✗ | } | |
| 243 | |||
| 244 | template <typename Scalar> | ||
| 245 | ✗ | ActionModelLQRTpl<Scalar> ActionModelLQRTpl<Scalar>::Random( | |
| 246 | const std::size_t nx, const std::size_t nu, const std::size_t ng, | ||
| 247 | const std::size_t nh) { | ||
| 248 | ✗ | MatrixXs A = MatrixXs::Random(nx, nx); | |
| 249 | ✗ | MatrixXs B = MatrixXs::Random(nx, nu); | |
| 250 | ✗ | MatrixXs L_tmp = MatrixXs::Random(nx + nu, nx + nu); | |
| 251 | ✗ | MatrixXs L = L_tmp.transpose() * L_tmp; | |
| 252 | ✗ | const Eigen::Block<MatrixXs> Q = L.topLeftCorner(nx, nx); | |
| 253 | ✗ | const Eigen::Block<MatrixXs> R = L.bottomRightCorner(nu, nu); | |
| 254 | ✗ | const Eigen::Block<MatrixXs> N = L.topRightCorner(nx, nu); | |
| 255 | ✗ | MatrixXs G = MatrixXs::Random(ng, nx + nu); | |
| 256 | ✗ | MatrixXs H = MatrixXs::Random(nh, nx + nu); | |
| 257 | ✗ | VectorXs f = VectorXs::Random(nx); | |
| 258 | ✗ | VectorXs q = VectorXs::Random(nx); | |
| 259 | ✗ | VectorXs r = VectorXs::Random(nu); | |
| 260 | ✗ | VectorXs g = VectorXs::Random(ng); | |
| 261 | ✗ | VectorXs h = VectorXs::Random(nh); | |
| 262 | ✗ | return ActionModelLQRTpl<Scalar>(A, B, Q, R, N, G, H, f, q, r, g, h); | |
| 263 | ✗ | } | |
| 264 | |||
| 265 | template <typename Scalar> | ||
| 266 | ✗ | void ActionModelLQRTpl<Scalar>::print(std::ostream& os) const { | |
| 267 | ✗ | os << "ActionModelLQR {nx=" << state_->get_nx() << ", nu=" << nu_ | |
| 268 | ✗ | << ", ng=" << ng_ << ", nh=" << nh_ << ", drift_free=" << drift_free_ | |
| 269 | ✗ | << "}"; | |
| 270 | ✗ | } | |
| 271 | |||
| 272 | template <typename Scalar> | ||
| 273 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_A() | |
| 274 | const { | ||
| 275 | ✗ | return A_; | |
| 276 | } | ||
| 277 | |||
| 278 | template <typename Scalar> | ||
| 279 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_B() | |
| 280 | const { | ||
| 281 | ✗ | return B_; | |
| 282 | } | ||
| 283 | |||
| 284 | template <typename Scalar> | ||
| 285 | ✗ | const typename MathBaseTpl<Scalar>::VectorXs& ActionModelLQRTpl<Scalar>::get_f() | |
| 286 | const { | ||
| 287 | ✗ | return f_; | |
| 288 | } | ||
| 289 | |||
| 290 | template <typename Scalar> | ||
| 291 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_Q() | |
| 292 | const { | ||
| 293 | ✗ | return Q_; | |
| 294 | } | ||
| 295 | |||
| 296 | template <typename Scalar> | ||
| 297 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_R() | |
| 298 | const { | ||
| 299 | ✗ | return R_; | |
| 300 | } | ||
| 301 | |||
| 302 | template <typename Scalar> | ||
| 303 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_N() | |
| 304 | const { | ||
| 305 | ✗ | return N_; | |
| 306 | } | ||
| 307 | |||
| 308 | template <typename Scalar> | ||
| 309 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_G() | |
| 310 | const { | ||
| 311 | ✗ | return G_; | |
| 312 | } | ||
| 313 | |||
| 314 | template <typename Scalar> | ||
| 315 | ✗ | const typename MathBaseTpl<Scalar>::MatrixXs& ActionModelLQRTpl<Scalar>::get_H() | |
| 316 | const { | ||
| 317 | ✗ | return H_; | |
| 318 | } | ||
| 319 | |||
| 320 | template <typename Scalar> | ||
| 321 | ✗ | const typename MathBaseTpl<Scalar>::VectorXs& ActionModelLQRTpl<Scalar>::get_q() | |
| 322 | const { | ||
| 323 | ✗ | return q_; | |
| 324 | } | ||
| 325 | |||
| 326 | template <typename Scalar> | ||
| 327 | ✗ | const typename MathBaseTpl<Scalar>::VectorXs& ActionModelLQRTpl<Scalar>::get_r() | |
| 328 | const { | ||
| 329 | ✗ | return r_; | |
| 330 | } | ||
| 331 | |||
| 332 | template <typename Scalar> | ||
| 333 | ✗ | const typename MathBaseTpl<Scalar>::VectorXs& ActionModelLQRTpl<Scalar>::get_g() | |
| 334 | const { | ||
| 335 | ✗ | return g_; | |
| 336 | } | ||
| 337 | |||
| 338 | template <typename Scalar> | ||
| 339 | ✗ | const typename MathBaseTpl<Scalar>::VectorXs& ActionModelLQRTpl<Scalar>::get_h() | |
| 340 | const { | ||
| 341 | ✗ | return h_; | |
| 342 | } | ||
| 343 | |||
| 344 | template <typename Scalar> | ||
| 345 | ✗ | void ActionModelLQRTpl<Scalar>::set_LQR(const MatrixXs& A, const MatrixXs& B, | |
| 346 | const MatrixXs& Q, const MatrixXs& R, | ||
| 347 | const MatrixXs& N, const MatrixXs& G, | ||
| 348 | const MatrixXs& H, const VectorXs& f, | ||
| 349 | const VectorXs& q, const VectorXs& r, | ||
| 350 | const VectorXs& g, const VectorXs& h) { | ||
| 351 | ✗ | const std::size_t nx = state_->get_nx(); | |
| 352 | ✗ | if (static_cast<std::size_t>(A.rows()) != nx) { | |
| 353 | ✗ | throw_pretty( | |
| 354 | "Invalid argument: " << "A should be a squared matrix with size " + | ||
| 355 | std::to_string(nx)); | ||
| 356 | } | ||
| 357 | ✗ | if (static_cast<std::size_t>(B.rows()) != nx) { | |
| 358 | ✗ | throw_pretty( | |
| 359 | "Invalid argument: " << "B has wrong dimension (it should have " + | ||
| 360 | std::to_string(nx) + " rows)"); | ||
| 361 | } | ||
| 362 | ✗ | if (static_cast<std::size_t>(Q.rows()) != nx || | |
| 363 | ✗ | static_cast<std::size_t>(Q.cols()) != nx) { | |
| 364 | ✗ | throw_pretty("Invalid argument: " | |
| 365 | << "Q has wrong dimension (it should be " + | ||
| 366 | std::to_string(nx) + " x " + std::to_string(nx) + ")"); | ||
| 367 | } | ||
| 368 | ✗ | if (static_cast<std::size_t>(R.rows()) != nu_ || | |
| 369 | ✗ | static_cast<std::size_t>(R.cols()) != nu_) { | |
| 370 | ✗ | throw_pretty( | |
| 371 | "Invalid argument: " << "R has wrong dimension (it should be " + | ||
| 372 | std::to_string(nu_) + " x " + | ||
| 373 | std::to_string(nu_) + ")"); | ||
| 374 | } | ||
| 375 | ✗ | if (static_cast<std::size_t>(N.rows()) != nx || | |
| 376 | ✗ | static_cast<std::size_t>(N.cols()) != nu_) { | |
| 377 | ✗ | throw_pretty("Invalid argument: " | |
| 378 | << "N has wrong dimension (it should be " + | ||
| 379 | std::to_string(nx) + " x " + std::to_string(nu_) + ")"); | ||
| 380 | } | ||
| 381 | ✗ | if (static_cast<std::size_t>(G.rows()) != ng_ || | |
| 382 | ✗ | static_cast<std::size_t>(G.cols()) != nx + nu_) { | |
| 383 | ✗ | throw_pretty( | |
| 384 | "Invalid argument: " << "G has wrong dimension (it should be " + | ||
| 385 | std::to_string(ng_) + " x " + | ||
| 386 | std::to_string(nx + nu_) + ")"); | ||
| 387 | } | ||
| 388 | ✗ | if (static_cast<std::size_t>(H.rows()) != nh_ || | |
| 389 | ✗ | static_cast<std::size_t>(H.cols()) != nx + nu_) { | |
| 390 | ✗ | throw_pretty( | |
| 391 | "Invalid argument: " << "H has wrong dimension (it should be " + | ||
| 392 | std::to_string(nh_) + " x " + | ||
| 393 | std::to_string(nx + nu_) + ")"); | ||
| 394 | } | ||
| 395 | ✗ | if (static_cast<std::size_t>(f.size()) != nx) { | |
| 396 | ✗ | throw_pretty( | |
| 397 | "Invalid argument: " << "f has wrong dimension (it should be " + | ||
| 398 | std::to_string(nx) + ")"); | ||
| 399 | } | ||
| 400 | ✗ | if (static_cast<std::size_t>(q.size()) != nx) { | |
| 401 | ✗ | throw_pretty( | |
| 402 | "Invalid argument: " << "q has wrong dimension (it should be " + | ||
| 403 | std::to_string(nx) + ")"); | ||
| 404 | } | ||
| 405 | ✗ | if (static_cast<std::size_t>(r.size()) != nu_) { | |
| 406 | ✗ | throw_pretty( | |
| 407 | "Invalid argument: " << "r has wrong dimension (it should be " + | ||
| 408 | std::to_string(nu_) + ")"); | ||
| 409 | } | ||
| 410 | ✗ | if (static_cast<std::size_t>(g.size()) != ng_) { | |
| 411 | ✗ | throw_pretty( | |
| 412 | "Invalid argument: " << "g has wrong dimension (it should be " + | ||
| 413 | std::to_string(ng_) + ")"); | ||
| 414 | } | ||
| 415 | ✗ | if (static_cast<std::size_t>(h.size()) != nh_) { | |
| 416 | ✗ | throw_pretty( | |
| 417 | "Invalid argument: " << "h has wrong dimension (it should be " + | ||
| 418 | std::to_string(nh_) + ")"); | ||
| 419 | } | ||
| 420 | ✗ | L_ = MatrixXs::Zero(nx + nu_, nx + nu_); | |
| 421 | ✗ | L_ << Q, N, N.transpose(), R; | |
| 422 | ✗ | if (!checkPSD(L_)) { | |
| 423 | ✗ | throw_pretty("Invalid argument " | |
| 424 | << "[Q, N; N.T, R] is not positive semi-definite"); | ||
| 425 | } | ||
| 426 | ✗ | A_ = A; | |
| 427 | ✗ | B_ = B; | |
| 428 | ✗ | f_ = f; | |
| 429 | ✗ | Q_ = Q; | |
| 430 | ✗ | R_ = R; | |
| 431 | ✗ | N_ = N; | |
| 432 | ✗ | G_ = G; | |
| 433 | ✗ | H_ = H; | |
| 434 | ✗ | q_ = q; | |
| 435 | ✗ | r_ = r; | |
| 436 | ✗ | g_ = g; | |
| 437 | ✗ | h_ = h; | |
| 438 | ✗ | updated_lqr_ = false; | |
| 439 | ✗ | } | |
| 440 | |||
| 441 | } // namespace crocoddyl | ||
| 442 |