A novel data-driven predictive control for networked control systems with random packet dropouts

Abstract

A novel data driven predictive control method for networked control systems (NCSs) is presented, where the network links from sensors to controllers and from controllers to actuators are subject to random packet dropouts. In order to make full use of the I/O data of the controlled system to improve system performance, an improved model-free adaptive predictive control (iMFAPC) method is proposed by modifying the criterion function. Then, a networked control scheme is developed based on iMFAPC, whose basic principle is to compensate the lost packets by the corresponding predictive values. Finally, the effectiveness of the proposed control scheme for the packet dropout problem in the networked control system is validated through both simulations and experiments.