Adaptive Cooperative Secure Control of Networked Multiple Unmanned Systems under FDI Attacks

Abstract

With the expanding applications of multiple unmanned systems in various fields, more and more research attention has been paid to their security. The aim is to enhance the anti-interference ability, ensure their reliability and stability, and better serve human society. This article conducts adaptive cooperative secure tracking consensus of networked multiple unmanned systems subjected to false data injection attacks. From a practical perspective, each unmanned system is modeled using high-order unknown nonlinear discrete-time systems. To reduce the communication bandwidth between agents, a quantizer-based codec mechanism is constructed. This quantizer uses a uniform logarithmic quantizer, combining the advantages of both quantizers. Because the transmission information attached with the false data can affect the accuracy of the decoder, a new adaptive law is added to the decoder to overcome this difficulty. A distributed controller is devised in the backstepping framework. Rigorous mathematical analysis shows that our proposed control algorithms ensure that all signals of the resultant systems remain bounded. Finally, simulation examples reveal the practical utility of the theoretical analysis.