DiscreteSystemModel Class Reference

Class for discrete System Models. More...

#include <discretesystemmodel.h>

Inheritance diagram for DiscreteSystemModel:

List of all members.

Public Member Functions
	DiscreteSystemModel (DiscreteConditionalPdf *systempdf=NULL)
	Constructor.
virtual	~DiscreteSystemModel ()
	Destructor.
	DiscreteSystemModel (const DiscreteSystemModel &)
	Copy constructor.
unsigned int	NumStatesGet () const
	Get the number of discrete states.
int	StateSizeGet () const
	Get State Size.
bool	SystemWithoutInputs () const
	Has the system inputs or not.
ConditionalPdf< int, int > *	SystemPdfGet ()
	Get the SystemPDF.
void	SystemPdfSet (ConditionalPdf< int, int > *pdf)
	Set the SystemPDF.
int	Simulate (const int &x, const int &u, int sampling_method=DEFAULT, void *sampling_args=NULL)
	Simulate the system.
int	Simulate (const int &x, int sampling_method=DEFAULT, void *sampling_args=NULL)
	Simulate the system (no input system)
Probability	ProbabilityGet (const int &x_k, const int &x_kminusone, const int &u)
	Get the probability of arriving in a next state.
Probability	ProbabilityGet (const int &x_k, const int &x_kminusone)
	Get the probability of arriving in a next state.
Protected Attributes
ConditionalPdf< int, int > *	_SystemPdf
	ConditionalPdf representing .
bool	_systemWithoutInputs
	System with no inputs?

---

Detailed Description

Class for discrete System Models.

Class representing discrete System Models, ie. System Models for which _BOTH_ states and inputs are discrete variables!

Definition at line 30 of file discretesystemmodel.h.

---

Constructor & Destructor Documentation

DiscreteSystemModel

(

DiscreteConditionalPdf *

systempdf = NULL

)

Constructor.

Parameters:

systempdf

ConditionalPdf<int> representing P(X_k | X_{k-1}, U_{k})

See also:

SystemPdf

---

Member Function Documentation

Probability ProbabilityGet	(	const int &	x_k,
		const int &	x_kminusone,
		const int &	u
	)		[inherited]

Get the probability of arriving in a next state.

Parameters:

x_k	the next state (at time k)
x_kminusone	the current state (at time k-1)
u	the input

Returns:

the probability value

Probability ProbabilityGet	(	const int &	x_k,
		const int &	x_kminusone
	)		[inherited]

Get the probability of arriving in a next state.

(no-input-system)

Parameters:

x_k	the next state (at time k)
x_kminusone	the current state (at time k-1)

Returns:

the probability value

int Simulate	(	const int &	x,
		const int &	u,
		int	sampling_method = DEFAULT,
		void *	sampling_args = NULL
	)		[inherited]

Simulate the system.

Parameters:

x	current state of the system
u	input to the system

Returns:

State where we arrive by simulating the system model for 1 step

Parameters:

sampling_method	the sampling method to be used while sampling from the Conditional Pdf describing the system (if not specified = DEFAULT)
sampling_args	Sometimes a sampling method can have some extra parameters (eg mcmc sampling)

Note:

Maybe the return value would better be a Sample<T> instead of a T

int Simulate	(	const int &	x,
		int	sampling_method = DEFAULT,
		void *	sampling_args = NULL
	)		[inherited]

Simulate the system (no input system)

Parameters:

x	current state of the system

Returns:

State where we arrive by simulating the system model for 1 step

Note:

Maybe the return value would better be a Sample<T> instead of a T

Parameters:

sampling_method	the sampling method to be used while sampling from the Conditional Pdf describing the system (if not specified = DEFAULT)
sampling_args	Sometimes a sampling method can have some extra parameters (eg mcmc sampling)

int StateSizeGet

(

)

const [inherited]

Get State Size.

Copy constructor SystemModel(const SystemModel<T>& model);

Returns:

the statesize of the system

ConditionalPdf<int ,int >* SystemPdfGet

(

)

[inherited]

Get the SystemPDF.

Returns:

a reference to the ConditionalPdf describing the system

void SystemPdfSet

(

ConditionalPdf< int , int > *

pdf

)

[inherited]

Set the SystemPDF.

Parameters:

pdf	a reference to the ConditionalPdf describing the system

---

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

• discretesystemmodel.h