Predicting nonlinear dynamics with machine learning

An interactive program that allows a visual illustration of the regular and chaotic features of the Logistic map.

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 research project investigates non-linear resonance in the Chua's Circuit system.

A Comparison of Numerical Algorithms in Applied Physics Simulations

This is a continuous ongoing ROS project where different control schemes to track position commands for the non linear system of a wheeled inverted pendulum are created.

The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.

Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547

Implementing trajectory optimization on bipedal system

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.

Numerical demonstration and explanation of the intermediate axis theorem

Stabilizing a non-linear system with backstepping and lyapunov based control

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

Non Linear Dynamics and Chaos (Analysis of 3D Lorenz System)

Python implementation of non-linear 6DOF GARTEUR RCAM aircraft flight dynamics model

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

A collection of programs demonstrating elementary physical phenomena.

Code for the paper "Non-Linear Dynamics Through Linear Algebraic Lenses: Attempting to Learn the Trajectories of the Logistic Map with Artificial Neural Networks"