An open source model predictive control package for Julia.
Python implementation of the fast relaxed vectorfitting algorithm for MIMO frequency domain data
In this repository, Frequency Domain Maximum Likelihood Identification with Gaussian Input–Output Uncertainty have been investigated.
The `KalmanFilter` class implements the Kalman Filter algorithm for estimating the state of linear dynamic systems using noisy measurements. The class accepts system matrices, initial state, and covariance, and provides `predict` and `update` methods for state prediction and refinement based on new observations.
Numerical recipes for homework tasks I worked on during a math course on stochastic processes in WS24, mostly for computing various scale-error-relationships
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