pyMOR - Model Order Reduction with Python

Statistical analysis and visualization of state transition phenomena

R package for statistical inference using partially observed Markov processes

dynamic analysis of structural vibrations.

State-space, age-structured fish stock assessment model

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

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

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

KFAS: R Package for Exponential Family State Space Models

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

We are presenting a Bayesian local-level model and its extensions

Bayesian Inference of State Space Models

The Python framework for state-space modeling and algorithm development

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

statespacer: State Space Modelling in R

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

Modeling and simulation of LTI state-space and nonlinear systems.

General state-space representation of linear, time-invariant systems in Golang

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

Zheng Zhao's doctoral dissertation from Aalto University