Neuroadaptive Fault-Tolerant Control for Vehicle Platoons with Sensor Partial LoE Fault

This paper investigates the sensor fault tolerant control problem for vehicle platoons with partial loss of effectiveness (LoE) fault. Considering the unknown sensor fault, by applying a novel coordinate transformation, the unknown coefficient in sensor output channel is converted to control input channel. Then, an neuroadaptive sensor fault tolerant control algorithm is developed by employing the back-stepping control method and adaptive radial basis function neural network (RBF NN) approximation technique, which is proved to be capable of achieving bounded tracking error. Simulation results demonstrate the effectiveness of the proposed control algorithm.