Adaptive Dual Control of Actuators for Exploration and Exploitation

The PhD project targets novel adaptive dual control methodologies, implementations and validations. The aim of dual control is to simultaneously control and excite the system. The controller optimizes stability and performance. Exciting the system within specified tolerances will yield system information that is useful to further improve the controller. In this project we will focus on iterative feedback tuning methods that can be used online and methods to map the relation between controller setpoints and specified performance measures. In both cases we plan to use both model-based and data-driven techniques.