Distributed Event-Triggered Bipartite Consensus for Multiagent Systems Against Injection Attacks

Abstract

This paper studies fully distributed data-driven problems for heterogeneous nonlinear discrete-time multiagent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model by applying the designed distributed bipartite combined measurement error function of the MASs,. we then an event-triggered control machination is developed and, a fully distributed event-triggered bipartite consensus framework is designed, where the dynamics information of MASs is no longer needed. Meanwhile, the restriction of topology is further relieved, which is fitting leader-less, leader-follower, and even containment control. Moreover, to prevent injection attacks, nervous network-based detection and compensation schemes are developed. Rigorous convergence proof is presented that the bipartite consensus error is ultimately boundedness by utilizing the Lyapunov stability theory. Finally, the correctness and effectiveness of the designed method are verified by simulation and hardware experiments.

Data-based bipartite formation control for multi-agent systems with communication constraints

“…Furthermore, the error between a practical plant and a mathematical model is inevitable, which may deteriorate systems' stability. Hence, a data-driven control (DDC) approach becomes an alternative way to formulate a robust control protocol for complex systems, for instance, model-free adaptive control (MFAC), [15][16][17][18][19][20] model-free adaptive iterative learning control (MFAILC), [21][22][23] virtual reference feedback tuning (VRFT), 24 iterative feedback tuning (IFT), 25 proportional-integral-derivative (PID), 26 reinforcement learning (RL) [27][28][29][30] , and so on. [31][32][33] It is noted that MFAILC is an effective approach for the nonlinear system to conduct repeatable tasks.…”

Bipartite Containment Control for Delayed Multiagent Systems With Markovian Switching Topologies Under Impulsive Attacks

“…Security control of multiagent systems is of paramount importance due to cyber-physical attacks such as falsedata-injection attacks and denial-of-service attacks [15]. In the context of secure bipartite tracking control under fixed topology, various dynamics of agents have been discussed, such as single integrator [16], linear systems [17], nonlinear systems [18]. In particular, the case of switching topology is also considered in [18].…”

“…In the context of secure bipartite tracking control under fixed topology, various dynamics of agents have been discussed, such as single integrator [16], linear systems [17], nonlinear systems [18]. In particular, the case of switching topology is also considered in [18]. By now, few works emphasize the problem of bipartite containment control for multiagent systems under cyber-attacks.…”

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

“…[29][30][31] Nevertheless, there are few researches on synchronization problem of MASs with a signed graph under deception attacks up to now. 32,33 The bipartite consensus issue of MASs under deception attacks needs further exploration.…”

“…In recent years, many researchers have also considered cooperation‐competition networks for MASs 29‐31 . Nevertheless, there are few researches on synchronization problem of MASs with a signed graph under deception attacks up to now 32,33 . The bipartite consensus issue of MASs under deception attacks needs further exploration.…”