An open source model predictive control package for Julia.

Python implementation of the fast relaxed vectorfitting algorithm for MIMO frequency domain data

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.

In this repository, Frequency Domain Maximum Likelihood Identification with Gaussian Input–Output Uncertainty have been investigated.