Consensus of nonlinear multi–agent systems with distributed event–triggered impulsive control

2021 ◽  
pp. 107754632098597
Author(s):  
Wenyan Tang ◽  
Kun Li ◽  
Jia Wu ◽  
Yongfang Xie
Keyword(s):  
Impulse Control ◽  
Lyapunov Method ◽  
Control Method ◽  
Impulsive Control ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Trigger Function ◽  
Multi Agent ◽  
Event Triggered

This study addresses the consensus problem in nonlinear multi-agent systems with the distributed impulsive control method. To decrease communication wastage, a distributed event-triggered impulsive protocol is developed to achieve consensus. In the proposed control method, each agent receives neighbor information and performs impulse control only when its own trigger function exceeds a given tolerance. Then, through the Lyapunov method, the conditions that allow the multi-agent systems reach consensus are analyzed and the Zeno behavior is excluded. Finally, some numerical simulations are performed to validate the effectiveness of the proposed method.

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 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.

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 Leading-Following Consensus for Multi-Agent Systems With Event-Triggered Delayed Impulsive Control

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 136419-136427
Author(s):  
Chengbo Yi ◽  
Chen Xu ◽  
Jianwen Feng ◽  
Jingyi Wang ◽  
Yi Zhao
Keyword(s):  
Impulsive Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Triggered ◽  
Delayed Impulsive Control

Event-triggered finite-time consensus for stochastic multi-agent systems

2020 ◽  
pp. 014233122093344
Author(s):  
Zichao Yang ◽  
Shiqi Zheng ◽  
Bingyun Liang ◽  
Yuanlong Xie
Keyword(s):  
Finite Time ◽  
Control Method ◽  
Output Feedback Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Control Scheme ◽  
Reduced Order Observer ◽  
Feedback Control Method ◽  
Multi Agent ◽  
Event Triggered

This paper studies a consensus problem for a kind of stochastic multi-agent systems (SMAS). First, a reduced-order observer is designed to estimate unknown states in SMASs. Second, an event-triggered adaptive output feedback control method is presented. It can reduce the controller updates and communication burden. Moreover, the radial basis function neural networks are applied to approximate the unknown functions in systems. Finally, it is demonstrated that the proposed control scheme can achieve finite-time practical consensus for SMASs. Simulation results are provided to illustrate the effectiveness of the theoretical analysis.

scholarly journals The Output Consensus Problem of DC Microgrids With Dynamic Event-Triggered Control Scheme

2021 ◽  
Vol 9 ◽  
Author(s):  
Yan Geng ◽  
Jianwei Ji ◽  
Bo Hu
Keyword(s):  
Information Transfer ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Dc Microgrids ◽  
Agent Systems ◽  
Dynamic Event ◽  
Control Scheme ◽  
Control Schemes ◽  
Multi Agent ◽  
Event Triggered

In this paper, the output consensus problem of DC microgrids with dynamic event-triggered control scheme is investigated. According to the properties of DC microgrids and multi-agent systems, the multi-agent systems function model for DC microgrids is provided. For making the multi-agent systems achieve output consensus, the non-periodic and periodic dynamic event-triggered control schemes are provided, respectively, which are classified according to the style of receiving information. By using a series of analysis, it can be proved that these two control schemes not only can make systems achieve output consensus, but also can avoid the Zeno-behavior successfully. Moreover, the periodic dynamic event-triggered control scheme does not need the continuous information transfer. Finally, a numerical example is provided to support our conclusions.

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