Material for the course "Time series analysis with Python"
-
Updated
Jun 26, 2024 - Jupyter Notebook
Material for the course "Time series analysis with Python"
Implementing trajectory optimization on bipedal system
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
Python implementation of non-linear 6DOF GARTEUR RCAM aircraft flight dynamics model
Library to conduct experiments in population dynamics.
Stabilizing a non-linear system with backstepping and lyapunov based control
Algorithm to calculate the optimal tip relief modification on spur gear teeth that minimizes the meshing vibration for a certain operating condition.
Next-generation non-linear and collapse prediction models for short to long period systems via machine learning methods
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
This is a project where i will provide interactive jupyter notebooks accompanying my expeditions into the realms of chaos in non-linear systems
Predicting nonlinear dynamics with machine learning
Labs for the SP21/22 Machine Learning class - Prof. Cesare Alippi, USI INF-BSc
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
The best thing to happen to the logistic map since maps were invented
Code for the paper "Non-Linear Dynamics Through Linear Algebraic Lenses: Attempting to Learn the Trajectories of the Logistic Map with Artificial Neural Networks"
This repository includes numerical integration-based solutions for solving non-linear equations. The solutions include Newton Raphson technique for algebraic equations and Euler's/Modified-Euler's/Runge-Kutta (RK4) for differential algebraic equations.
Digital Signal Processing with MATLAB
Add a description, image, and links to the non-linear-dynamics topic page so that developers can more easily learn about it.
To associate your repository with the non-linear-dynamics topic, visit your repo's landing page and select "manage topics."