pyMOR - Model Order Reduction with Python
-
Updated
Apr 24, 2024 - 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.
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)
Estimators for probabilities, entropies, and other complexity measures derived from observations in the context of nonlinear dynamics and complex systems
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
Bayesian Inference of State Space Models
sssMOR - Sparse State-Space and Model Order Reduction Toolbox
Industrial control systems in Go
Zheng Zhao's doctoral dissertation from Aalto University
State-space, age-structured fish stock assessment model
learning state-space targets in dynamical systems
Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8
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
Time varying vector autoregressive state space modeling of community interactions in a Bayesian framework
theleo.zone/thermal-model source code (formerly thermalmodel.com)
Add a description, image, and links to the state-space topic page so that developers can more easily learn about it.
To associate your repository with the state-space topic, visit your repo's landing page and select "manage topics."