Recommendations for undergrad to learn optimal state estimation

This page summarizes the projects mentioned and recommended in the original post on /r/ControlTheory

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  • estimation_algorithms

    Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kalman Filter, Rao-Blackwellized Particle Filter, Cubature Kalman Filter

  • If you interested you can check out this code: https://github.com/n-jokic/estimation_algorithms I have implemented KF, EKF, UKF and particle filter from scratch using Python.

  • Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  • This provides an excellent intro that jumps right into code. https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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