Predefined Accuracy Adaptive Control for Vehicle Platoon With Time-Delay Against Deception Attacks

In this article, an adaptive predefined accuracy control issue is addressed for vehicle platoon control system (VPCS) with time delay and deception attacks. Two nonnegative switched functions are employed to handle the predefined accuracy control problem. Some radial basis function neural networks (RBF NNs) are applied to estimate uncertain functions. Different from the existed reports on the VPCS, by combining with the switched functions and the Nussbaum functions, an adaptive distributed controller is designed for the VPCS to overcome the influence of time delay and deception attacks so that the spacing errors gather to a preset vale. At last, some simulation results are used to test the correctness of the proposed scheme with predefined accuracy value 0.2. In order to emphasize that the proposed scheme is independent of parameters, we also get a simulation result with an accuracy of 0.1. And some simulation results are also obtained under the strength of time-delays and deception attacks to highlight the valid of the presented method.