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.
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