Distributed Cooperative Control for Heterogeneous Connected Systems with Uncertainty and Cyber-attacks

In this paper, a distributed security cooperative control for heterogeneous connected systems based on uncertainty and cyber-attacks identification is proposed. First, for the uncertainty, nonlinear disturbance observer is designed to realize the identification of uncertainty. Then, to compensate for the effects of cyber-attacks, an adaptive identification method of cyber-attacks is proposed through learning-based attack approximation approach. Furthermore, the distributed cooperative control strategy of heterogeneous connected systems under the compensation of cyber-attacks and uncertainty is presented via distributed backstepping approach. Finally, the result analysis shows the effectiveness of the designed algorithm.