Book and material for the course "Time series analysis with Python" (STA-2003)

Implementing trajectory optimization on bipedal system

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

Algorithm to calculate the optimal tip relief modification on spur gear teeth that minimizes the meshing vibration for a certain operating condition.

Library to conduct experiments in population dynamics.

Mastering Gaussian Processes with PyMC

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

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

Next-generation non-linear and collapse prediction models for short to long period systems via machine learning methods

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.

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

Implementation of a non-linear Model Predictive Control (MPC) algorithm for reference traking with the addition of an Extended Kalman Filter (EKF) for state estimation and robustness to noise.

applies low-pass filtering on historical data of stocks and then plots its phase space

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"

Generative Density Approximation for Deterministic Point Patterns: The Hopalong Attractor