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genpark-kalman-filter-1d-state-estimator-skill

mcp
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SUMMARY

GenPark AI Agent Skill - 1D linear Kalman filter performing optimal state estimation, noisy sensor fusion, and recursive error covariance minimization.

README.md

GenPark Kalman Filter 1D State Estimator Skill

1D linear Kalman filter for real-time optimal state estimation and noisy sensor stream fusion.

Learn more at GenPark and the GenPark MCP Catalog.

graph LR
    A[Predict: x_k = x_k-1 + u_k, P_k = P_k-1 + Q] --> B[Calculate Kalman Gain K = P / (P + R)]
    B --> C[Update State: x = x + K * (z - x)]
    C --> D[Update Covariance: P = (1 - K) * P]
    D -->|Next Step| A

Features

  • Recursive predictor-corrector equations.
  • Dynamic measurement uncertainty weighting.
  • Pure Python standard library.

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