- 3.0.2 core module.
ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR > Class Template Reference

Computes the linearization of a general non-linear DiscreteControlledSystem using numerical differentiation. More...

#include <DiscreteSystemLinearizer.h>

Inheritance diagram for ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >:
ct::core::DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALAR > ct::core::DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR > ct::core::DiscreteSystem< STATE_DIM, CONTROL_DIM, SCALAR >

Public Types

typedef DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALARsystem_t
 type of system to be linearized More...
 
typedef Base::state_vector_t state_vector_t
 state vector type More...
 
typedef Base::control_vector_t control_vector_t
 control vector type More...
 
typedef Base::state_matrix_t state_matrix_t
 state Jacobian type (A) More...
 
typedef Base::state_control_matrix_t state_control_matrix_t
 
- Public Types inherited from ct::core::DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALAR >
typedef Base::time_t time_t
 
typedef Base::state_vector_t state_vector_t
 
typedef Base::control_vector_t control_vector_t
 
typedef StateMatrix< STATE_DIM, SCALARstate_matrix_t
 state Jacobian type More...
 
typedef StateControlMatrix< STATE_DIM, CONTROL_DIM, SCALARstate_control_matrix_t
 input Jacobian type More...
 
- Public Types inherited from ct::core::DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR >
typedef DiscreteSystem< STATE_DIM, CONTROL_DIM, SCALARBase
 
typedef Base::state_vector_t state_vector_t
 
typedef Base::control_vector_t control_vector_t
 
typedef Base::time_t time_t
 
- Public Types inherited from ct::core::DiscreteSystem< STATE_DIM, CONTROL_DIM, SCALAR >
typedef int time_t
 the type of the time variable More...
 
typedef StateVector< STATE_DIM, SCALARstate_vector_t
 
typedef ControlVector< CONTROL_DIM, SCALARcontrol_vector_t
 

Public Member Functions

 DiscreteSystemLinearizer (std::shared_ptr< system_t > nonlinearSystem, bool doubleSidedDerivative=true)
 control Jacobian type (B) More...
 
 DiscreteSystemLinearizer (const DiscreteSystemLinearizer &arg)
 copy constructor More...
 
virtual ~DiscreteSystemLinearizer ()
 destructor More...
 
DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR > * clone () const override
 deep cloning More...
 
virtual const state_matrix_tgetDerivativeState (const state_vector_t &x, const control_vector_t &u, const int n=0)
 get the Jacobian with respect to the state More...
 
virtual const state_control_matrix_tgetDerivativeControl (const state_vector_t &x, const control_vector_t &u, const int n=0)
 get the Jacobian with respect to the input More...
 
virtual void getAandB (const state_vector_t &x, const control_vector_t &u, const state_vector_t &x_next, const int n, size_t numSteps, state_matrix_t &A, state_control_matrix_t &B) override
 retrieve discrete-time linear system matrices A and B. More...
 
- Public Member Functions inherited from ct::core::DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALAR >
 DiscreteLinearSystem (const ct::core::SYSTEM_TYPE &type=ct::core::SYSTEM_TYPE::GENERAL)
 default constructor More...
 
virtual ~DiscreteLinearSystem ()
 destructor More...
 
virtual void propagateControlledDynamics (const state_vector_t &state, const time_t n, const control_vector_t &control, state_vector_t &stateNext) override
 compute the system dynamics More...
 
void getAandB (const state_vector_t &x, const control_vector_t &u, const int n, state_matrix_t &A, state_control_matrix_t &B)
 
- Public Member Functions inherited from ct::core::DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR >
 DiscreteControlledSystem (const SYSTEM_TYPE &type=SYSTEM_TYPE::GENERAL)
 default constructor More...
 
 DiscreteControlledSystem (std::shared_ptr< DiscreteController< STATE_DIM, CONTROL_DIM, SCALAR >> controller, const SYSTEM_TYPE &type=SYSTEM_TYPE::GENERAL)
 constructor More...
 
 DiscreteControlledSystem (const ControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR > &arg)
 copy constructor More...
 
virtual ~DiscreteControlledSystem ()=default
 destructor More...
 
void setController (const std::shared_ptr< DiscreteController< STATE_DIM, CONTROL_DIM, SCALAR >> &controller)
 set a new controller More...
 
void getController (std::shared_ptr< DiscreteController< STATE_DIM, CONTROL_DIM, SCALAR >> &controller) const
 get the controller instance More...
 
std::shared_ptr< DiscreteController< STATE_DIM, CONTROL_DIM, SCALAR > > getController ()
 get the controller instace More...
 
virtual void propagateDynamics (const state_vector_t &state, const time_t n, state_vector_t &stateNext) override
 propagates the system dynamics forward by one step More...
 
- Public Member Functions inherited from ct::core::DiscreteSystem< STATE_DIM, CONTROL_DIM, SCALAR >
 DiscreteSystem (const SYSTEM_TYPE &type=GENERAL)
 constructor More...
 
virtual ~DiscreteSystem ()
 desctructor More...
 
virtual void propagateDynamics (const StateVector< STATE_DIM, SCALAR > &state, const time_t n, StateVector< STATE_DIM, SCALAR > &stateNext)=0
 propagates the system dynamics forward by one step More...
 
SYSTEM_TYPE getType () const
 get the type of system More...
 

Public Attributes

EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALARBase
 
- Public Attributes inherited from ct::core::DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALAR >
EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALARBase
 
- Public Attributes inherited from ct::core::DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR >
EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef std::shared_ptr< DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR > > Ptr
 

Protected Attributes

std::shared_ptr< system_tnonlinearSystem_
 instance of non-linear system More...
 
DynamicsLinearizerNumDiff< STATE_DIM, CONTROL_DIM, SCALAR, int > linearizer_
 instance of numerical-linearizer More...
 
state_matrix_t dFdx_
 Jacobian wrt state. More...
 
state_control_matrix_t dFdu_
 Jacobian wrt input. More...
 
- Protected Attributes inherited from ct::core::DiscreteControlledSystem< STATE_DIM, CONTROL_DIM, SCALAR >
std::shared_ptr< DiscreteController< STATE_DIM, CONTROL_DIM, SCALAR > > controller_
 the controller instance More...
 
- Protected Attributes inherited from ct::core::DiscreteSystem< STATE_DIM, CONTROL_DIM, SCALAR >
SYSTEM_TYPE type_
 type of system More...
 

Detailed Description

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
class ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >

Computes the linearization of a general non-linear DiscreteControlledSystem using numerical differentiation.

This class takes a non-linear DiscreteControlledSystem $ x[n+1] = f(x[n],u[n],n) $ and computes the linearization around a certain point $ x = x_s $, $ u = u_s $.

\[ x[n+1] = A x[n] + B u[n] \]

where

\[ \begin{aligned} A &= \frac{df}{dx} |_{x=x_s, u=u_s} \\ B &= \frac{df}{du} |_{x=x_s, u=u_s} \end{aligned} \]

Examples for using the SystemLinearizer (and the Auto-diff Linearizer) can be found in AutoDiffLinearizerTest.cpp

Note
In case your ControlledSystem is templated on scalar type, we suggest using the DiscreteSystemLinearizerAD for highest efficiency and accuracy.
Template Parameters
dimensionof state vector
dimensionof control vector
SCALARunderlying scalar type of the system
Examples:
AutoDiffLinearizerTest.cpp.

Member Typedef Documentation

◆ system_t

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
typedef DiscreteControlledSystem<STATE_DIM, CONTROL_DIM, SCALAR> ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::system_t

type of system to be linearized

◆ state_vector_t

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
typedef Base::state_vector_t ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::state_vector_t

state vector type

◆ control_vector_t

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
typedef Base::control_vector_t ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::control_vector_t

control vector type

◆ state_matrix_t

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
typedef Base::state_matrix_t ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::state_matrix_t

state Jacobian type (A)

◆ state_control_matrix_t

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
typedef Base::state_control_matrix_t ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::state_control_matrix_t

Constructor & Destructor Documentation

◆ DiscreteSystemLinearizer() [1/2]

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::DiscreteSystemLinearizer ( std::shared_ptr< system_t nonlinearSystem,
bool  doubleSidedDerivative = true 
)
inline

control Jacobian type (B)

default constructor

Initializes the linearizer with a non-linear system.

Parameters
nonlinearSystemnon-linear system to linearize
doubleSidedDerivativeif true, double sided numerical differentiation is used

References ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdu_, and ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdx_.

◆ DiscreteSystemLinearizer() [2/2]

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::DiscreteSystemLinearizer ( const DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR > &  arg)
inline

copy constructor

◆ ~DiscreteSystemLinearizer()

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
virtual ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::~DiscreteSystemLinearizer ( )
inlinevirtual

destructor

Member Function Documentation

◆ clone()

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
DiscreteSystemLinearizer<STATE_DIM, CONTROL_DIM, SCALAR>* ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::clone ( ) const
inlineoverridevirtual

◆ getDerivativeState()

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
virtual const state_matrix_t& ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::getDerivativeState ( const state_vector_t x,
const control_vector_t u,
const int  n = 0 
)
inlinevirtual

get the Jacobian with respect to the state

This computes the linearization of the system with respect to the state at a given point $ x=x_s $, $ u=u_s $, i.e. it computes

\[ A = \frac{df}{dx} |_{x=x_s, u=u_s} \]

Parameters
xstate to linearize at
ucontrol to linearize at
nindex
Returns
Jacobian wrt state

References ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdx_, ct::core::DynamicsLinearizerNumDiff< STATE_DIM, CONTROL_DIM, SCALAR, TIME >::getDerivativeState(), ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::linearizer_, and n.

Referenced by TEST().

◆ getDerivativeControl()

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
virtual const state_control_matrix_t& ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::getDerivativeControl ( const state_vector_t x,
const control_vector_t u,
const int  n = 0 
)
inlinevirtual

get the Jacobian with respect to the input

This computes the linearization of the system with respect to the input at a given point $ x=x_s $, $ u=u_s $, i.e. it computes

\[ B = \frac{df}{du} |_{x=x_s, u=u_s} \]

Parameters
xstate to linearize at
ucontrol to linearize at
nindex
Returns
Jacobian wrt input

References ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdu_, ct::core::DynamicsLinearizerNumDiff< STATE_DIM, CONTROL_DIM, SCALAR, TIME >::getDerivativeControl(), ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::linearizer_, and n.

Referenced by TEST().

◆ getAandB()

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
virtual void ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::getAandB ( const state_vector_t x,
const control_vector_t u,
const state_vector_t x_next,
const int  n,
size_t  numSteps,
state_matrix_t A,
state_control_matrix_t B 
)
inlineoverridevirtual

retrieve discrete-time linear system matrices A and B.

This computes matrices A and B such that

\[ x_{n+1} = Ax_n + Bu_n \]

Note that the inputs x_next and subSteps are being ignored

Parameters
xthe state setpoint at n
uthe control setpoint at n
nthe time setpoint
x_next-> ignored
subSteps-> ignored
Athe resulting linear system matrix A
Bthe resulting linear system matrix B

Implements ct::core::DiscreteLinearSystem< STATE_DIM, CONTROL_DIM, SCALAR >.

References ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdu_, ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::dFdx_, ct::core::DynamicsLinearizerNumDiff< STATE_DIM, CONTROL_DIM, SCALAR, TIME >::getDerivativeControl(), ct::core::DynamicsLinearizerNumDiff< STATE_DIM, CONTROL_DIM, SCALAR, TIME >::getDerivativeState(), and ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::linearizer_.

Referenced by TEST().

Member Data Documentation

◆ Base

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef DiscreteLinearSystem<STATE_DIM, CONTROL_DIM, SCALAR> ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::Base

◆ nonlinearSystem_

template<size_t STATE_DIM, size_t CONTROL_DIM, typename SCALAR = double>
std::shared_ptr<system_t> ct::core::DiscreteSystemLinearizer< STATE_DIM, CONTROL_DIM, SCALAR >::nonlinearSystem_
protected

instance of non-linear system

◆ linearizer_

◆ dFdx_

◆ dFdu_


The documentation for this class was generated from the following file: