scholarly journals Suboptimal Event-Triggered Consensus of Multiagent Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuan Fan
Keyword(s):  
Multiagent Systems ◽  
Control Input ◽  
Consensus Problem ◽  
Numerical Examples ◽  
Event Time ◽  
Time Average ◽  
Triggering Events ◽  
Measurement Approach ◽  
Consensus Rate ◽  
Event Triggered

In this paper the suboptimal event-triggered consensus problem of Multiagent systems is investigated. Using the combinational measurement approach, each agent only updates its control input at its own event time instants. Thus the total number of events and the amount of controller updates can be significantly reduced in practice. Then, based on the observation of increasing the consensus rate and reducing the number of triggering events, we have proposed the time-average cost of the agent system and developed a suboptimal approach to determine the triggering condition. The effectiveness of the proposed strategy is illustrated by numerical examples.

scholarly journals Bipartite Consensus of Heterogeneous Multiagent Systems Based on Distributed Event-Triggered Control

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Xiaoyu Wang ◽  
Kaien Liu ◽  
Zhijian Ji ◽  
Shitao Han
Keyword(s):  
Multiagent Systems ◽  
Sufficient Conditions ◽  
Input Delay ◽  
Consensus Problem ◽  
Consensus Protocol ◽  
Control Scheme ◽  
Event Triggering ◽  
Bipartite Consensus ◽  
Theoretical Results ◽  
Event Triggered

In this paper, the bipartite consensus problem of heterogeneous multiagent systems composed of first-order and second-order agents is considered by utilizing the event-triggered control scheme. Under structurally balanced directed topology, event-triggered bipartite consensus protocol is put forward, and event-triggering functions consisting of measurement error and threshold are designed. To exclude Zeno behavior, an exponential function is introduced in the threshold. The bipartite consensus problem is transformed into the corresponding stability problem by means of gauge transformation and model transformation. By virtue of Lyapunov method, sufficient conditions for systems without input delay are obtained to guarantee bipartite consensus. Furthermore, for the case with input delay, sufficient conditions which include an admissible upper bound of the delay are obtained to guarantee bipartite consensus. Finally, numerical simulations are provided to illustrate the effectiveness of the obtained theoretical results.

scholarly journals Distributed Event-Triggered Control of Multiagent Systems with Time-Varying Topology

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jingwei Ma ◽  
Jie Zhou ◽  
Yanping Gao
Keyword(s):  
Multiagent Systems ◽  
Linear Matrix Inequalities ◽  
Linear Matrix ◽  
Control Input ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Common Lyapunov Function ◽  
Event Triggering ◽  
Lyapunov Function Method ◽  
Event Triggered

This paper studies the consensus of first-order discrete-time multiagent systems, where the interaction topology is time-varying. The event-triggered control is used to update the control input of each agent, and the event-triggering condition is designed based on the combination of the relative states of each agent to its neighbors. By applying the common Lyapunov function method, a sufficient condition for consensus, which is expressed as a group of linear matrix inequalities, is obtained and the feasibility of these linear matrix inequalities is further analyzed. Simulation examples are provided to explain the effectiveness of the theoretical results.

Distributed Event-Triggered Quantizer in Multi-Agent Systems

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Huaqiang Zhang ◽  
Yu Ren ◽  
Xinsheng Wang
Keyword(s):  
Theoretical Analysis ◽  
Control Strategy ◽  
Numerical Results ◽  
Control Input ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Strategy ◽  
Multi Agent ◽  
Event Triggered

This paper investigates a kind of consensus problem in multi-agent systems, revises an existing control input for consensus by dynamic quantizers, and also gives a visible distributed event-triggered rule to update the parameters for dynamic quantizers. In other words, distributed event-triggered dynamic quantizers are firstly proposed and employed when designing a consensus strategy for multi-agent systems by this paper. Meanwhile, the overall steps of the control strategy are included. The numerical results come to agreement with the theoretical analysis, and shows that the proposed strategy can get faster convergence speed in comparison with an existing one.

scholarly journals Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Changgeng Luo ◽  
Xinsheng Wang ◽  
Yu Ren
Keyword(s):  
Numerical Simulation ◽  
Multiagent Systems ◽  
State Feedback ◽  
Data Rate ◽  
Control Input ◽  
Consensus Strategy ◽  
And Control ◽  
Dynamic Quantizer ◽  
A Current ◽  
Event Triggered

Considering the constrained communication data rate and compute capability that commonly exists in multiagent systems, this paper modifies a current consensus strategy by introducing a kind of dynamic quantizer in both state feedback and control input and updates dynamic quantizers by employing event-triggered strategies, thus forming a new quantitative consensus strategy. The numerical simulation example is built for state quantization and the results show the consistency with expectation.

scholarly journals Event-Based Consensus for General Linear Multiagent Systems under Switching Topologies

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yinshuang Sun ◽  
Zhijian Ji ◽  
Kaien Liu
Keyword(s):  
Multiagent Systems ◽  
Control Strategies ◽  
Sufficient Conditions ◽  
General Linear ◽  
Control Input ◽  
Switching Topologies ◽  
Event Triggering ◽  
Leader Following ◽  
Fixed Topology ◽  
Event Triggered

In this paper, event-triggered leader-following consensus of general linear multiagent systems under both fixed topology and switching topologies is studied. First, centralised and decentralised event-triggered control strategies based on neighbors’ state estimation are proposed under fixed topology, in which the controller is only updated at the time of triggering. Obviously, compared with the continuous time control algorithms, the event-triggered control strategies can reduce the communication frequency among agents effectively. Meanwhile, event-triggering conditions are derived for systems to achieve consensus by using the Lyapunov stability theory and model transformation method. Then, the theoretical results obtained under the fixed topology are extended to the switching topologies, and the sufficient conditions for the system to achieve leader-following consensus under the switching topologies are given. However, different from fixed topology, the control input of each agent is updated both at event-triggering and topology switching time. Finally, Zeno behaviors can be excluded by proving that the minimum triggering interval of each agent is strictly positive, and the effectiveness of the event-triggered protocol is verified by simulation experiments.

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