GPC strategies for the lateral control of a networked AGV

The performance of a networked control system (NCS) is affected directly and indirectly by transmission time delays and data losses in the communications network. Based on the communications network model, this paper presents the validity of two different predictive control strategies and the study of the network effects on the lateral (guidance) control of an autonomous guided vehicle (AGV) in the presence of sensor noise. Simulation results are presented to validate the proposed strategies.