Predicting how a system will behave in the future requires more computing power if that system is complex. Navigating through environments with many obstacles could require significant computing time, which may delay the issue of decisions that have to be made by the on-board algorithms. This project seeks to develop new theory for controller design which incorporates selecting the best model to use when making a decision in real time.
