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.

Practical Fixed-Time Event-Triggered Time-Varying Formation Tracking Control for Disturbed Multi-Agent Systems with Continuous Communication Free

2020 ◽  
Vol 09 (01) ◽  
pp. 23-34
Author(s):  
Xiaofeng Chai ◽  
Jian Liu ◽  
Yao Yu ◽  
Jianxiang Xi ◽  
Changyin Sun
Keyword(s):  
Control Strategies ◽  
Fixed Time ◽  
Settling Time ◽  
Time Varying ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Formation Tracking ◽  
Control Schemes ◽  
Multi Agent ◽  
Event Triggered

In this paper, we study the practical fixed-time event-triggered time-varying formation tracking problem of leader-follower multi-agent systems with multi-dimensional dynamics. Fixed-time event-triggered control schemes with continuous communication and intermittent communication are developed, respectively. Continuous communication and measurement are avoided, and computation cost is reduced greatly in the latter scheme. And the settling time is to be specified regardless of initial states of agents. Meanwhile, tracking errors are adjustable as desired with expected settling time. It is demonstrated that time-varying formation tracking can be achieved under the two proposed control schemes and Zeno behavior can be excluded. Finally, numerical examples are provided to illustrate the effectiveness of the proposed control strategies.

Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems

2019 ◽  
Vol 64 (8) ◽  
pp. 3300-3307 ◽  
Author(s):  
Xinlei Yi ◽  
Kun Liu ◽  
Dimos V. Dimarogonas ◽  
Karl H. Johansson
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Dynamic Event ◽  
Multi Agent ◽  
Event Triggered

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.

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