Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
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Updated
Jul 21, 2024 - Julia
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
Welcome to the repository for the Modern Control course instructed by Dr. Taghirad at K. N. Toosi University of Technology. This repository contains resources, materials, and assignments related to the course.
pyMOR - Model Order Reduction with Python
State-space, age-structured fish stock assessment model
R package for statistical inference using partially observed Markov processes
dynamic analysis of structural vibrations
The set of functions used for time series analysis and in forecasting.
We are presenting a Bayesian local-level model and its extensions
learning state-space targets in dynamical systems
A repository that contains files relevant to my master's thesis on TLA+ specification writing guidelines for state space reduction.
Replication of the research paper : Catching the curl: Wavelet thresholding improves forward curve modelling
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
Statistical analysis and visualization of state transition phenomena
Engineering curriculum different Control Theory classes and applications
Precision-based sampling from state space models that have no measurement error
Create Multivariate Autoregressive State-Space Models with the MARSS R package
theleo.zone/thermal-model source code (formerly thermalmodel.com)
For education and helping to improve our skills in matlab
Bayesian Inference of State Space Models
A toy implementation of search-based planning on the river crossing problem.
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