Time-derivative estimation by backward differencing. JointVelocityBackwardDifference uses backward differencing to estimate the first time derivative of the joint state.
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#include <joint_velocity_backward_difference.h>
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| void | AssignScene (ScenePtr scene) override |
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| void | SetPreviousJointState (Eigen::VectorXdRefConst joint_state) |
| | Logs previous joint state. SetPreviousJointState must be called after solve is called in a Python/C++ script is called to ensure the time-derivatives are appropriately approximated. The new joint_state is set to q_. Finally, we compute the new qbd_. More...
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| void | Update (Eigen::VectorXdRefConst x, Eigen::VectorXdRef phi) override |
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| void | Update (Eigen::VectorXdRefConst x, Eigen::VectorXdRef phi, Eigen::MatrixXdRef jacobian) override |
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| int | TaskSpaceDim () override |
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| virtual void | InstantiateBase (const Initializer &init) |
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| virtual void | Update (Eigen::VectorXdRefConst q, Eigen::VectorXdRef phi, Eigen::MatrixXdRef jacobian, HessianRef hessian) |
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| virtual void | Update (Eigen::VectorXdRefConst x, Eigen::VectorXdRefConst u, Eigen::VectorXdRef phi) |
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| virtual void | Update (Eigen::VectorXdRefConst x, Eigen::VectorXdRefConst u, Eigen::VectorXdRef phi, Eigen::MatrixXdRef dphi_dx, Eigen::MatrixXdRef dphi_du) |
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| virtual void | Update (Eigen::VectorXdRefConst x, Eigen::VectorXdRefConst u, Eigen::VectorXdRef phi, Eigen::MatrixXdRef dphi_dx, Eigen::MatrixXdRef dphi_du, HessianRef ddphi_ddx, HessianRef ddphi_ddu, HessianRef ddphi_dxdu) |
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| virtual int | TaskSpaceJacobianDim () |
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| virtual void | PreUpdate () |
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| virtual std::vector< TaskVectorEntry > | GetLieGroupIndices () |
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| std::vector< KinematicFrameRequest > | GetFrames () const |
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| | Object () |
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| virtual | ~Object () |
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| virtual std::string | type () const |
| | Type Information wrapper: must be virtual so that it is polymorphic... More...
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| std::string | GetObjectName () |
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| void | InstantiateObject (const Initializer &init) |
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| virtual std::string | Print (const std::string &prepend) const |
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| | InstantiableBase ()=default |
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| virtual | ~InstantiableBase ()=default |
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| virtual std::vector< Initializer > | GetAllTemplates () const =0 |
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| void | InstantiateInternal (const Initializer &init) override |
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| Initializer | GetInitializerTemplate () override |
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| std::vector< Initializer > | GetAllTemplates () const override |
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| virtual void | Instantiate (const JointVelocityBackwardDifferenceInitializer &init) |
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| const JointVelocityBackwardDifferenceInitializer & | GetParameters () const |
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Time-derivative estimation by backward differencing. JointVelocityBackwardDifference uses backward differencing to estimate the first time derivative of the joint state.
For more information see: http://mathworld.wolfram.com/BackwardDifference.html
Here, x+qbd_ represents the simplified estimate of the first time derivative.
◆ AssignScene()
| void exotica::JointVelocityBackwardDifference::AssignScene |
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ScenePtr |
scene | ) |
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overridevirtual |
◆ SetPreviousJointState()
Logs previous joint state. SetPreviousJointState must be called after solve is called in a Python/C++ script is called to ensure the time-derivatives are appropriately approximated. The new joint_state is set to q_. Finally, we compute the new qbd_.
◆ TaskSpaceDim()
| int exotica::JointVelocityBackwardDifference::TaskSpaceDim |
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overridevirtual |
◆ Update() [1/2]
◆ Update() [2/2]
◆ backward_difference_params_
| double exotica::JointVelocityBackwardDifference::backward_difference_params_ |
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private |
Binomial coefficient parameters.
◆ I_
| Eigen::MatrixXd exotica::JointVelocityBackwardDifference::I_ |
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◆ N_
| int exotica::JointVelocityBackwardDifference::N_ |
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Number of dofs for robot.
◆ q_
| Eigen::VectorXd exotica::JointVelocityBackwardDifference::q_ |
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Log of previous joint state.
◆ qbd_
| Eigen::VectorXd exotica::JointVelocityBackwardDifference::qbd_ |
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x+qbd_ is a simplified estimate of the first time derivative.
The documentation for this class was generated from the following file: