Heading Control of an Autonomous Underwater Vehicle using Unfalsification Approach

In this paper, a novel control method referred to as the unfalsified control has been devised which relies on the knowledge of the system's past behavior. It is a type of data driven control that is currently under focus of many researchers across the world. In this method, the controller learns to act according to modified conditions from previous data of input and output values. This technique has been applied for the heading control of an autonomous underwater vehicle and was implemented through simulation in MATLAB/ SIMULINK environment. The simulation result in this paper verifies the proposed control algorithm.