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.

This is a project where i will provide interactive jupyter notebooks accompanying my expeditions into the realms of chaos in non-linear systems

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

Labs for the SP21/22 Machine Learning class - Prof. Cesare Alippi, USI INF-BSc

Predicting nonlinear dynamics with machine learning

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.

The best thing to happen to the logistic map since maps were invented

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.

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