Sampled-Based Consensus for Nonlinear Multiagent Systems With Deception Attacks: The Decoupled Method

In this paper, the sampled-based consensus problem is investigated for a class of nonlinear multiagent systems subjected to deception attacks. Due to network fluctuations and limited resources, deception attacks might destroy the sampled-data in communication networks. Additionally, the success of deception attacks greatly depends on some randomly fluctuated factors. This paper takes into account the deception attacks that are randomly launched at each sampling instant. The eigenvector of Laplacian matrix is utilized to construct a novel Lyapunov functional. Then, the decoupled criterion connected with eigenvalues of Laplacian matrix is obtained such that the addressed multiagent systems achieve the mean square consensus. Furthermore, the solutions of a set of matrix inequalities represent the controller gain matrix. Finally, a numerical example is provided to validate the effectiveness of the derived results.

Automated summary

This paper investigates the sampled-based consensus problem for a class of nonlinear multiagent systems subjected to deception attacks, utilizing eigenvectors of Laplacian matrix to construct a novel Lyapunov functional and achieve mean square consensus. The success of deception attacks greatly depends on randomly fluctuated factors, and the solutions of matrix inequalities represent the controller gain matrix for the addressed multiagent systems.