Event-Triggered Control for Multi-Agent Systems using Consensus Protocol

2020 ◽  
Author(s):  
Saranya S Nair ◽  
Jeevamma Jacob
Keyword(s):  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Triggered

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.

Event-triggered flocking control of multi-agent systems in presence of cyber attacks

2021 ◽  
pp. 095441002098637
Author(s):  
Neda Amirian ◽  
Saeed Shamaghdari
Keyword(s):  
Hybrid Control ◽  
Cyber Attacks ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Cooperative Agents ◽  
Event Triggering ◽  
Multi Agent ◽  
Update Rules ◽  
Event Triggered

We propose an event-triggered control system for multi-agent systems with the double-integrator network to achieve resilient flocking behavior in the presence of cyberattacks. The method can manage connectivity and increase the robustness of the topology graph via a three-state hybrid control. Each state of hybrid control has a distinct triggering condition. The developed event-triggered update rules can mitigate the influence of the noncooperative agents using the weighted mean subsequence reduced algorithm and reduce unnecessary communication among them. As a result, the performance of the system can effectively improve. Convergence of the velocity and orientation of the agents is guaranteed by using this type of control structure and resilient consensus protocol. We assume that the bound on the number of noncooperative agents in the neighbor sets of cooperative agents is known. The proposed scheme with the event-triggering rules can avoid Zeno behaviors inherently. Finally, a simulation example is worked out to demonstrate the effectiveness of the proposed approach.

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 Fully Distributed Consensus of Fractional Chaotic Multi-agent Systems Based on Combined Event-triggered Mechanism

2021 ◽  
Author(s):  
Qiaoping Li ◽  
Chao Yue
Keyword(s):  
Sufficient Conditions ◽  
Absolute Error ◽  
Control Technique ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Leader Following ◽  
Multi Agent ◽  
Event Times ◽  
Event Triggered

By designing a novel combined event-triggered control technique, this article analytically studies the distributed leader-following consensus problem of nonlinear fractional chaotic multi-agent systems. First, a novel combined event-triggered mechanism which takes into account both the relative error and the absolute error of the samples is proposed, under which each follower agent executes control update independently at its own event times. Next, a fully distributed event-triggered consensus protocol is designed and the sufficient conditions of consensus are attained. Finally, compared with other event-triggered mechanisms, the simulation experiments illustrate that the event-based consensus protocol proposed in this article can effectively reduce the frequency of actuator data update while ensuring desired consensus performance.

Sign in / Sign up

Export Citation Format

Share Document