types.core.OutputFunction

types.core.OutputFunction

Output/observation function h(x).

Maps state to measurement: y = h(x).

Parameters

Name	Type	Description	Default
x	StateVector	State (nx,)	required

Returns

Name	Type	Description
	OutputVector	Output (ny,)

Examples

>>> # Full state observation
>>> def h_full(x: StateVector) -> OutputVector:
...     return x  # y = x
>>> 
>>> # Partial observation (position only)
>>> def h_partial(x: StateVector) -> OutputVector:
...     return x[0:2]  # First two states
>>> 
>>> # Nonlinear observation
>>> def h_nonlinear(x: StateVector) -> OutputVector:
...     return np.array([np.linalg.norm(x)])  # Distance from origin

# types.core.OutputFunction { #cdesym.types.core.OutputFunction }

`types.core.OutputFunction`

Output/observation function h(x).

Maps state to measurement: y = h(x).

## Parameters {.doc-section .doc-section-parameters}

| Name   | Type        | Description   | Default    |
|--------|-------------|---------------|------------|
| x      | StateVector | State (nx,)   | _required_ |

## Returns {.doc-section .doc-section-returns}

| Name   | Type         | Description   |
|--------|--------------|---------------|
|        | OutputVector | Output (ny,)  |

## Examples {.doc-section .doc-section-examples}

```python
>>> # Full state observation
>>> def h_full(x: StateVector) -> OutputVector:
...     return x  # y = x
>>> 
>>> # Partial observation (position only)
>>> def h_partial(x: StateVector) -> OutputVector:
...     return x[0:2]  # First two states
>>> 
>>> # Nonlinear observation
>>> def h_nonlinear(x: StateVector) -> OutputVector:
...     return np.array([np.linalg.norm(x)])  # Distance from origin
```