Model predictive control for a brain-controlled mobile robot

Abstract

The control performance and safety of current brain-controlled mobile robots are limited. To address this problem, in this paper, we design an assistive controller based on the model predictive control method. The proposed controller fuses tracking user intention and guaranteeing safety of brain-controlled mobile robots into an optimization problem. In this way, the proposed controller can make users control a brain-controlled mobile robot as much as possible given the mobile robot is safe. The experimental results show that the proposed controller can improve the control performance of the brain-controlled simulated mobile robot and guarantee its safety.