scholarly journals External Consensus Protocol of Networked Multiagent Systems With Communication Delays Under Event-Triggered Mechanisms

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 25053-25062
Author(s):  
Qi Lei ◽  
Jia-Hui Li ◽  
Guo-Ping Liu ◽  
Min Wu
Keyword(s):  
Multiagent Systems ◽  
Communication Delays ◽  
Consensus Protocol ◽  
Networked Multiagent Systems ◽  
Event Triggered

scholarly journals Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qi Lei ◽  
Ying Luo
Keyword(s):  
Nonlinear Dynamics ◽  
Multiagent Systems ◽  
Delay Compensation ◽  
Consensus Protocol ◽  
Consensus Control ◽  
Arx Model ◽  
Control Protocol ◽  
The Times ◽  
Networked Multiagent Systems ◽  
Event Triggered

An event-triggered-based external consensus control protocol with delay compensation for networked multiagent systems (NMASs) with nonlinear dynamics and network-induced delays is discussed in this paper. An RBF-ARX modelling method is adopted to approximate a nonlinear system. By utilizing the RBF-ARX model, the locally linearized time series model can be obtained to describe the behaviour of agents with nonlinear characteristics. An event-triggered control protocol with communication delay compensation is proposed to reduce the effects of network-induced delays and the times of the agent’s control update and communication between others by applying the idea of a prediction strategy. The event-triggered mechanism for each agent only depends on the deviation between its own output and the delay-compensated output of neighboring agents. Then, a distributed event-triggered-based and delay-compensated external consensus control protocol is given. Under this proposed control protocol, both the consensus and stability of the system can be proved. Finally, a numerical simulation is performed to verify the availability of our results.

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.

Event-Triggered Consensus of Linear Multiagent Systems With Time-Varying Communication Delays

2020 ◽  
Vol 50 (7) ◽  
pp. 2916-2925 ◽  
Author(s):  
Chao Deng ◽  
Meng Joo Er ◽  
Guang-Hong Yang ◽  
Ning Wang
Keyword(s):  
Multiagent Systems ◽  
Time Varying ◽  
Communication Delays ◽  
Event Triggered

scholarly journals Periodic Event-Triggered Condition Design for the Consensus of Multiagent Systems with Communication Delays

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Feng Zhou ◽  
Zhiwu Huang ◽  
Weirong Liu ◽  
Liran Li ◽  
Kai Gao
Keyword(s):  
Multiagent Systems ◽  
Closed Loop ◽  
Undirected Graph ◽  
Communication Delays ◽  
Sampled Data ◽  
Quadratic Lyapunov Function ◽  
Linear Dynamical Systems ◽  
Data Control ◽  
Systems Simulation ◽  
Event Triggered

This paper focuses on the periodic event-triggered consensus problem for multiagent systems under undirected graph. In the periodic event-triggered control, the event condition is tested only periodically to decide when to exert the control behaviors and when to broadcast the sampling data. Two sets of event-triggered strategies combining with sampled-data control are designed based on an exponential decay function and a quadratic Lyapunov function, respectively. Some useful theorems for these two periodic event-triggered strategies about the choice of period are derived to guarantee the asymptotical stability of the closed-loop multiagent systems. In addition, this paper gives a sufficient condition about the bounds of communication delay for the multiagent systems. It is rigorously proved that the overall system will achieve the consensus under the proposed strategy if the period and time delay satisfy the theorems. Finally, we extend these solutions to general linear dynamical systems. Simulation results are presented to show the effectiveness.

scholarly journals Fast Consensus of Networked Multiagent Systems with Two-Hop Network

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Jinfeng Gao ◽  
Bin Bu ◽  
Lihui Feng ◽  
Minming Gu
Keyword(s):  
Distributed Control ◽  
Multiagent Systems ◽  
Large Scale ◽  
The State ◽  
Convergence Speed ◽  
Consensus Protocol ◽  
Large Scale Systems ◽  
Numerical Example ◽  
Communication Topology ◽  
Networked Multiagent Systems

This paper studies the consensus convergence speed of multiagent systems (MASs) from two aspects including communication topology and the state of agents. Two-hop network is considered in the communication topology. A novel consensus protocol that includes the information of the states motions and their integrals is introduced. And the protocol has much faster convergence speed by choosing some appropriate weight values. The protocol can be applied to distributed control and large-scale systems. A numerical example is presented to illustrate the effectiveness and superiority of the proposed method.

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