pyMOR - Model Order Reduction with Python
-
Updated
Oct 6, 2026 - Python
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)
30-lesson Simulink control engineering tutorial: from PID to H∞, MPC, SMC, and embedded C code generation. 中英双语
KFAS: R Package for Exponential Family State Space Models
Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8
Industrial control systems in Go
Bayesian Inference of State Space Models
State-space, age-structured fish stock assessment model
sssMOR - Sparse State-Space and Model Order Reduction Toolbox
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.
To associate your repository with the state-space topic, visit your repo's landing page and select "manage topics."