state-space

pyMOR - Model Order Reduction with Python

R package for statistical inference using partially observed Markov processes

The set of smoothing functions used for time series analysis and in forecasting.

Statistical analysis and visualization of state transition phenomena

KFAS: R Package for Exponential Family State Space Models

A complete 6DOF helicopter simulation (physics engine + visualization)

Bayesian Inference of State Space Models

Estimators for probabilities, entropies, and other complexity measures derived from observations in the context of nonlinear dynamics and complex systems

Industrial control systems in Go

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

State-space, age-structured fish stock assessment model

learning state-space targets in dynamical systems

Zheng Zhao's doctoral dissertation from Aalto University

Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8

Tools for estimating discrete regime changes in a multivariate time series setting.

thermalmodel.com source code

Time varying vector autoregressive state space modeling of community interactions in a Bayesian framework

Probabilistic high-Dimensional State Estimation

A series of the best papers on control theory and robotic systems (Applicable for both VEX and FRC)

statespacer: State Space Modelling in R