2019
DOI: 10.1109/tsmc.2017.2772820
|View full text |Cite
|
Sign up to set email alerts
|

Event-Triggered Algorithms for Leader–Follower Consensus of Networked Euler–Lagrange Agents

Abstract: This paper proposes three different distributed event-triggered control algorithms to achieve leader-follower consensus for a network of Euler-Lagrange agents. We firstly propose two model-independent algorithms for a subclass of Euler-Lagrange agents without the vector of gravitational potential forces. By model-independent, we mean that each agent can execute its algorithm with no knowledge of the agent selfdynamics. A variable-gain algorithm is employed when the sensing graph is undirected; algorithm parame… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
47
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 86 publications
(48 citation statements)
references
References 38 publications
1
47
0
Order By: Relevance
“…Examples of successful applications of the event-based control strategy on distributed control systems and networked control systems have been reported in e.g. [19]- [21]. We refer the readers to the recent survey papers [22]- [25] which provide comprehensive and excellent reviews on event-based control for networked coordination and multi-agent systems.…”
Section: Introductionmentioning
confidence: 99%
“…Examples of successful applications of the event-based control strategy on distributed control systems and networked control systems have been reported in e.g. [19]- [21]. We refer the readers to the recent survey papers [22]- [25] which provide comprehensive and excellent reviews on event-based control for networked coordination and multi-agent systems.…”
Section: Introductionmentioning
confidence: 99%
“…In Reference , the synchronization control problem is addressed under directed topologies by utilizing the robust control mechanism, where the requirement on relative velocity measurements is relaxed. In the case of tracking one stationary leader, two model‐independent controllers are proposed in Reference , where the variable‐gain control law is suitable for undirected networks and the constant‐gain control algorithm is applied to directed networks. More recently, an event‐triggered formation‐containment control framework is developed in Reference to improve the simultaneous performance of leaders' formation and followers' containment.…”
Section: Introductionmentioning
confidence: 99%
“…Event‐based distributed leaderless synchronization control problem and containment control problem with multiple stationary leaders have respectively been discussed, where the interaction network associated with all agents and the subgraph among followers are both assumed to be undirected. Later on, a model‐independent variable‐gain control law with undirected topology and a constant‐gain control algorithm under directed network were presented by Liu et al to address the tracking control problem with a dynamic leader, where the choice of event‐triggered functions was also discussed. It is worth noting that only simplified multiple Euler‐Lagrange systems are studied in the aforementioned results, where the effect of gravity and external unknown disturbance are neglected.…”
Section: Introductionmentioning
confidence: 99%
“…Later on, a model‐independent variable‐gain control law with undirected topology and a constant‐gain control algorithm under directed network were presented by Liu et al to address the tracking control problem with a dynamic leader, where the choice of event‐triggered functions was also discussed. It is worth noting that only simplified multiple Euler‐Lagrange systems are studied in the aforementioned results, where the effect of gravity and external unknown disturbance are neglected. Based on this motivation, a robust tracking control problem with a dynamic leader for multiple Euler‐Lagrange systems in the presence of generalized gravity, friction, and disturbance was investigated by Kumari et al by applying an event‐based sliding mode strategy.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation