pyMOR - Model Order Reduction with Python

R package for statistical inference using partially observed Markov processes

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

Statistical analysis and visualization of state transition phenomena

Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)

KFAS: R Package for Exponential Family State Space Models

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

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

Bayesian Inference of State Space Models

Industrial control systems in Go

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

Zheng Zhao's doctoral dissertation from Aalto University

State-space, age-structured fish stock assessment model

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

learning state-space targets in dynamical systems

Controlling a nonholonomic robot to follow a trajectory with a modified PID Controller.

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

statespacer: State Space Modelling in R

theleo.zone/thermal-model source code (formerly thermalmodel.com)

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