We propose an adaptive model-predictive controller that balances driving the system to a goal state and seeking system observations that are informative with respect to the parameters of a nonlinear autoregressive exogenous model. The controller's objective function is derived from an expected free energy functional and contains information-theoretic terms expressing uncertainty over model parameters and output predictions. Experiments illustrate how parameter uncertainty affects the control objective and evaluate the proposed controller for a pendulum swing-up task.
@article{arxiv.2312.15046,
title = {Information-seeking polynomial NARX model-predictive control through expected free energy minimization},
author = {Wouter M. Kouw},
journal= {arXiv preprint arXiv:2312.15046},
year = {2023}
}