Consensus of nonlinear multiagent systems under periodic scaling attacks with input delays via truncated prediction approach

This paper addresses the consensus problem of nonlinear multiagent systems with uncertainties and switching network topology under truncated prediction feedback approach subjected to periodic scaling attacks. Here, a type of deception attack known as periodic scaling attack have been taken into consideration for both undirected and directed graphs during agent's communication. The fundamental purpose of this paper is to develop a state feedback controller that can withstand actuator faults while ensuring the resultant closed loop systems. Furthermore, the truncated prediction feedback approach is utilized for handling input delays and then, a set of necessary conditions are derived in terms of linear matrix inequalities by developing an appropriate Lyapunov-Krasovskii functional. Eventually, to demonstrate the significance of the established theoretical results, two numerical simulation are conferred.

Automated summary

This paper addresses the consensus problem of nonlinear multiagent systems with uncertainties and switching network topology under truncated prediction feedback approach subjected to periodic scaling attacks. A state feedback controller is developed to ensure the stability of the closed loop systems, and a set of necessary conditions are derived in terms of linear matrix inequalities using the Lyapunov-Krasovskii functional.