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.

The Python framework for state-space modeling and algorithm development

Statistical analysis and visualization of state transition phenomena

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

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

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

KFAS: R Package for Exponential Family State Space Models

30-lesson Simulink control engineering tutorial: from PID to H∞, MPC, SMC, and embedded C code generation. 中英双语

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

Industrial control systems in Go

Bayesian Inference of State Space Models

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

State-space, age-structured fish stock assessment model

Zheng Zhao's doctoral dissertation from Aalto University

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

learning state-space targets in dynamical systems

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

dynamic analysis of structural vibrations.