scholarly journals Distributed Event-Triggered Consensus Control of Multi-Agent Systems under Denial-of-Service Jamming Attacks

2021 ◽  
Author(s):  
Mingyue Xiong ◽  
Xin Wang ◽  
Jun Cheng
Keyword(s):  
Denial Of Service ◽  
Sufficient Conditions ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Dos Attacks ◽  
Topological Graph ◽  
Jamming Attacks ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Triggered

Abstract This work focuses on the consensus problem of multi-agent systems (MASs) under event-triggered control (ETC) subject to denial-of-service (DoS) jamming attacks. To reduce the cost of communication networks, a novel event-triggering mechanism (ETM) is applied to the sleeping interval to determine whether the sampled signal should be transmitted or not. Unlike periodic DoS attacks model, the DoS attacks occurrence are irregular, where attack attributes such as attack frequency and attack duration are taken into account. Moreover, compared with the fixed topological graph, the communication topologies may change due to DoS jamming attacks in this work. In view of this, based on the piecewise Lyapunov functional, sufficient conditions are derived to guarantee that consensus problem of the MASs can be solved. Finally, the effectiveness and correctness of the theoretical results are verified by a numerical example.

Event-triggered consensus control of second-order nonlinear multi-agent systems under denial-of-service attacks

2021 ◽  
pp. 014233122199437
Author(s):  
Yu Shang ◽  
Cheng-Lin Liu ◽  
Ke-Cai Cao
Keyword(s):  
Denial Of Service ◽  
Second Order ◽  
Linear Matrix ◽  
Directed Network ◽  
Multi Agent Systems ◽  
Dos Attacks ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Triggered

This paper investigates the event-triggered consensus problem of second-order nonlinear multi-agent systems subject to denial-of-service (DoS) attacks, which make the communication network unable to provide normal services. Considering a general class of DoS attack with limited duration, a novel distributed event-triggered consensus protocol accompanied with first-order hold is adopted to guarantee the globally bounded consensus convergence under directed network topology. Based on the linear matrix inequality approach and Lyapunov stability method, consensus converging properties are analysed and sufficient criteria are obtained. Furthermore, Zeno-free triggering of our proposed protocol is demonstrated. Finally, a numerical simulation is given to show the effectiveness of our theoretical results.

scholarly journals Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Cui-Qin Ma ◽  
Yun-Bo Zhao ◽  
Wei-Guo Sun
Keyword(s):  
Sufficient Conditions ◽  
Measurement Noise ◽  
Mean Square ◽  
Multi Agent Systems ◽  
Negative Effects ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Multi Agent ◽  
Bipartite Consensus ◽  
Event Triggered

Event-triggered bipartite consensus of single-integrator multi-agent systems is investigated in the presence of measurement noise. A time-varying gain function is proposed in the event-triggered bipartite consensus protocol to reduce the negative effects of the noise corrupted information processed by the agents. Using the state transition matrix, Ito^ formula, and the algebraic graph theory, necessary and sufficient conditions are given for the proposed protocol to yield mean square bipartite consensus. We find that the weakest communication requirement to ensure the mean square bipartite consensus under event-triggered protocol is that the signed digraph is structurally balanced and contains a spanning tree. Numerical examples validated the theoretical findings where the system shows no Zeno behavior.

scholarly journals Event-Triggered Cluster Consensus of Leader-Following Linear Multi-Agent Systems

2018 ◽  
Vol 8 (4) ◽  
pp. 293-302 ◽  
Author(s):  
Bin Xu ◽  
Wangli He
Keyword(s):  
Sufficient Conditions ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Event Time ◽  
Control Scheme ◽  
Directed Spanning Tree ◽  
Leader Following ◽  
Multi Agent ◽  
Cluster Consensus ◽  
Event Triggered

Abstract This paper is concerned with cluster consensus of linear multi-agent systems via a distributed event-triggered control scheme. Assume that agents can be split into several clusters and a leader is associated with each cluster. Sufficient conditions are derived to guarantee the realization of cluster consensus by a feasible event-triggered controller if the network topology of each cluster has a directed spanning tree and the couplings within each cluster are sufficiently strong. Further, positive inner-event time intervals are ensured for the proposed event-triggered strategy to avoid Zeno behaviors. Finally, a numerical example is given to illustrate the effectiveness of the theoretical results.

scholarly journals On leaderless consensus of fractional-order nonlinear multi-agent systems via event-triggered control

2019 ◽  
Vol 24 (3) ◽  
pp. 353-367 ◽  
Author(s):  
Fei Wang ◽  
Yongqing Yang
Keyword(s):  
Fractional Order ◽  
Lyapunov Functional ◽  
Order Differential Equation ◽  
Functional Approach ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Fractional Order Differential Equation ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Triggered

The consensus problem of fractional-order multi-agent systems is investigated by eventtriggered control in this paper. Based on the graph theory and the Lyapunov functional approach, the conditions for guaranteeing the consensus are derived. Then, according to some basic theories of fractional-order differential equation and some properties of Mittag–Leffler function, the Zeno behavior could be excluded. Finally, a simulation example is given to check the effectiveness of the theoretical result.

scholarly journals A New Event-Triggered Type-3 Fuzzy Control System for Multi-Agent Systems: Optimal Economic Efficient Approach for Actuator Activating

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3122
Author(s):  
Shurong Yan ◽  
Ayman A. Aly ◽  
Bassem F. Felemban ◽  
Meysam Gheisarnejad ◽  
Manwen Tian ◽  
...  
Keyword(s):  
Sufficient Conditions ◽  
Total Sample ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Actuator Failures ◽  
Approximation Errors ◽  
Multi Agent ◽  
The Stability ◽  
Type 3 ◽  
Event Triggered

This study presents a new approach for multi-agent systems (MASs). The agent dynamics are approximated by the suggested type-3 (T3) fuzzy logic system (FLS). Some sufficient conditions based on the event-triggered scheme are presented to ensure the stability under less activation of the actuators. New tuning rules are obtained for T3-FLSs form the stability and robustness examination. The effect of perturbations, actuator failures and approximation errors are compensated by the designed adaptive compensators. Simulation results show that the output of all agents well converged to the leader agent under disturbances and faulty conditions. Additionally, it is shown that the suggested event-triggered scheme is effective and the actuators are updated about 20–40% of total sample times.

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