Guidance, Navigation & Control
Estimate states from noisy measurements and synthesize linear feedback gains.
AS-GC-08
Available calculations.
- kalman_filter_state_estimation
- lqr_controller_design
Runner example.
The installed skill teaches your agent when to activate this module and how to call the local runner.
kalman_filter_state_estimationAS-GC-08
{
"ok": true,
"operation": "kalman_filter_state_estimation",
"result": {
"final_state": [
1.38171454,
1.28783162
],
"final_state_std": [
0.3064032,
0.3064032
],
"filtered_states": [
[
0.83471074,
0.83471074
],
[
1.38171454,
1.28783162
]
],
"innovations": [
[
1,
1
],
[
1.16528926,
0.96528926
]
]
},
"units": {},
"assumptions": [
"Linear dynamics and measurement models",
"Zero-mean Gaussian process and measurement noise"
],
"warnings": [
"Validate observability, timing, covariance tuning, and sensor fault handling for flight use"
],
"provenance": [
"Standard discrete Kalman predict-update equations"
]
}