R package of comprehensive tools for designing and analyzing choice-based conjoint (cbc) experiments

The implementation for the differentiable model predictive excitation algorithm for excitation of unknown, non-linear systems

MATLAB implementations of Bayesian input signal design algorithms from the paper “An Approximate Bayesian Approach to Optimal Input Signal Design for System Identification”.

The project aims to optimize the design factors of a paper helicopter to obtain maximum flight time