Class for discrete System Models.
More...
#include <discretesystemmodel.h>
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
Constructor.
- Parameters:
-
systempdf | ConditionalPdf<int> representing P(X_k | X_{k-1}, U_{k}) |
- See also:
- SystemPdf
Member Function Documentation
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
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) |
Get State Size.
Copy constructor SystemModel(const SystemModel<T>& model);
- Returns:
- the statesize of the system
Get the SystemPDF.
- Returns:
- a reference to the ConditionalPdf describing the system
Set the SystemPDF.
- Parameters:
-
pdf | a reference to the ConditionalPdf describing the system |
The documentation for this class was generated from the following file: