Fuzzy Adaptive Prescribed‐Time Secure Consensus Control for Nonlinear Multi‐Agent Systems With FDI Attacks

Abstract

ABSTRACT This article investigates the issue of cooperative adaptive fuzzy prescribed‐time secure control for nonlinear multi‐agent systems (MASs) under False Data Injection (FDI) attacks. By the aid of the time‐domain mapping approach, the prescribed‐time control issue of finite‐time domain can be converted to asymptotic tracking control of infinite‐time domain. The nonlinear functions can be identified by fuzzy logic systems (FLSs), and the mathematical expectation method is utilized to tackle the FDI attack signals. Therefore, according to backstepping technique and Barbalat Lemma, a cooperative adaptive fuzzy prescribed‐time secure control approach is proposed, which can ensure the tracking errors asymptotically converge to zero within prescribed time and all signals of the nonlinear MASs keep bounded. Further, the prescribed performance functions are introduced to guarantee that the tracking errors converge to the prescribed region. Eventually, the simulation results are provided to demonstrate the viability and effectiveness of the developed control method and theory.