This repository contains the Matlab functions and scripts for initializing, simulating and evaluating the herding task with dynamic selection strategies presented in [1] and two heuristic selection strategies.
TrialMaker_EulerMaruyama run N numerical trials with N initial condition for each strategy selected. Simulation paramenters will be saved in Paramenters/ while numerical trials will be saved in Trials/*; each in a subfolder named after the target selection strategy implemented. Performance metrics are computed by getMetrics function and saved in Metrics/.
Additional comments are included throughout to assist with comprehension.
[1] Auletta, F., Fiore, D., Richardson, M.J. & di Bernardo, M. (2020) Herding stochastic autonomous agents via local control rules and online global target selection strategies. https://arxiv.org/abs/2010.00386v2 , Submitted.
Author: F. Auletta
E-mail : fabrizia.auletta@hdr.mq.edu.au