Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries

Zegers, Federico M.; Deptula, Patryk; Shea, John M.; Dixon, Warren E.

doi:10.1109/tac.2021.3074849

Cited by 23 publications

(15 citation statements)

References 48 publications

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“…The consensus control is to formulate an appropriate distributed control protocol for a group of agents to reach a consistent state. There are two major categories of MASs, leader-less consensus [3][4] and leader-follower consensus [5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Most distributed results [1][2][3][4][5][6] need the local information of agents and the global connectivity information of the communication graph to develop an appropriate control protocol, especially the knowledge of the smallest nonzero eigenvalue of the Laplacian matrix of the graph. To relieve the restrictions of the graph, a fully distributed concept, which only requires the graph containing a directed spanning tree, is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Obtaining accurate dynamics of the controlled nonlinear plant is a huge challenge of most existing model-based control (MBC) protocols [3][4][5][6][7][8][9][10][11], especially for large-scale heterogeneous nonlinear MASs. therefore, an alternative method has been developed recently, called data-driven control (DDC) or model-free control.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Zhao

Shan

et al. 2023

IEEE Trans. Ind. Inf.

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhao

Shan

et al. 2023

IEEE Trans. Ind. Inf.

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“…The leader-follower consensus is a significant problem in the field of cooperative control for multiagent systems (MASs) due to its practical application in management, industry, and other areas. 1,2 The distributed control protocol was designed for MASs such that followers can track the state of leader in the works of Li et al, 3 Zegers et al, 4 and Fan et al 5 It can be observed that the aforementioned literatures focus on the cooperative interaction among agents. However, the cooperative and antagonistic relationship among agents may coexist in social network, industry, and other areas.…”

Section: Introductionmentioning

confidence: 99%

Sampled‐data bipartite consensus control of nonlinear multi‐agent systems under denial‐of‐service attacks

Pan

Zhang

Fan

2022

Adaptive Control & Signal

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This article concentrates on the sampled-data secure bipartite consensus problem for a class of nonlinear multiagent systems under intermittent denial-of-service attacks. The network communication channels are destroyed when the attacks occur, which causes all the system states to be unavailable. A novel distributed sampled-data output feedback control protocol is developed by using the discontinuous sensor data. It is proved by the Lyapunov stability analysis that the considered nonlinear multiagent systems can achieve bipartite consensus exponentially in light of the designed control protocol. Then, the control algorithm is extended to systems with both state and input delay. Finally, a simulation example is presented to verify the effectiveness of the proposed control protocol.

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“…Learning-based control methods for mitigating adversarial effects are used, which are based on the passivity of agents and the statistical distribution of agents' output. [34] investigated the approximate leaderfollower consensus problem in the presence of Byzantine adversaries using event-and self-triggered controllers. A Lyapunov-based detection strategy is used to identify Byzantine agents in the neighborhood.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Resilient Average Consensus With Adversary Detection in the Presence of Byzantine Agents

Zhang

et al. 2021

IEEE Access

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This paper addresses the problem of resilient average consensus in the presence of Byzantine agents in multi-agent networks. An event-triggered secure acceptance and broadcasting algorithm is proposed in which full knowledge of the network and high computational capabilities of each regular node are not required. The computational expense and communication times are also reduced for the eventtriggered mechanism. We analyze the conditions for such a fully distributed algorithm to succeed in the flocal adversarial model. A new definition called an f-propagation graph, which is extended from rrobustness, turns out to be more accurate in describing the required topology conditions. Based on the proposed algorithm and topology conditions, we provide another algorithm to detect the adversarial nodes according to their abnormal behavior. When the network topology is an f-propagation graph, regular nodes that are equipped with the proposed algorithms update state values synchronously and eventually converge asymptotically to resilient average consensus. Simulation results are provided to verify the effectiveness of our proposed algorithms and the network topology conditions.INDEX TERMS Multi-agent networks, resilient consensus, adversary detection, event-triggered, Byzantine agents.

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Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries

Cited by 23 publications

References 48 publications

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

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

Sampled‐data bipartite consensus control of nonlinear multi‐agent systems under denial‐of‐service attacks

Event-Triggered Resilient Average Consensus With Adversary Detection in the Presence of Byzantine Agents

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