MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.

The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.

Matlab implementations of various multi-sensor labelled multi-Bernoulli filters

Navigation, State estimation (KF & EKF) and SLAM.

Implementation of an EKF to predict states of a 6 DOF drone using GPS-INS fusion. Also ass3_q2 and ass_q3_kf show the difference between state estimation without KF and with KF

An Extended Kalman Filter for Real-Time Estimation and Control of a Rigid-Link Flexible-Joint Manipulator

Smart Grid State Estimation with PMUs TimeSynchronization Errors

Some functions to work with Lie groups SO(3) and SE(3). State Estimation for Robotics

Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.

Matlab codes for comparing delayed Kalman filters, with application to the state estimation of a UAV.

Data processing, analysis and estimation utilities for a GNSS receiver array

Source code of paper State estimation for nonlinear discrete–time fractional systems A Bayesian perspective

Control of a Non-Linear 2 DOF Manipulator

State estimation for output with outlier (journal article matlab code) observer, Kalman-filter, Control

Linear System Theory NTNU. Two term projects: Helicopter lab and boat lab

A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model

In this project a rather brilliant observer called Thau observer or Lipschitz observer is proposed and designed to estimate the states of a special form of nonlinear systems. All the details regarding the observer design and its simulation are given in "Kian Khaneghahi - Fault Midterm - Q4.pdf" report file.

Source code of paper Fractional central difference Kalman filter with unknown prior information

Estimate mobile camera pose and object positions with multiple webcams.

Kalman Filter algorithm simulation with Markov process for state estimation.