Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers

By Yuan Fan, Lu Liu, Gang Feng, Yong Wang. IEEE Transactions on Automatic Control, 2015

311 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/1aa0ca64408b1499747f55babd3193ef2fcd43b0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Long Wang
2. Jinde Cao
3. Guanrong Chen
4. Jiahu Qin
5. D.W.C. Ho
6. Guoqiang Hu
7. Yang Shi
8. Qichao Ma

In Mechanical Engineering

1. Guoqiang Hu
2. Jorge Cortés
3. Long Wang

Citations in the corpus

• Event-Triggered Schemes on Leader-Following Consensus of General Linear Multiagent Systems Under Different Topologies (2017, methodology): “As compared with [38], our system is more general and involves a leader, which leads to a more challenging theoretical analysis.”
• Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “A part of the research efforts is tackling new and interesting topics such as how to determine an “agreement” between agents [87], how to assess the trustworthiness of these systems [88], and how to create transactional capabilities [89].”
• Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey (2017, methodology): “The self-triggered control mechanisms [18], [19], [36] are usually designed based on the event-triggered control mechanisms”
• Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy (2016, unknown): “Some other relevant studies on the topic can be found in [23]–[27].”
• Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks (2020, background): “…), a distributed control law for systems (2) under the DoS attacks can be designed as where ) is the latest broadcast state of agent i and ˆ ξ i ( t ) only requires the estimates of agent i , e.g., ˆ x i ( t ) and ˆ x j ( t ) rather than using the true state x j ( t ) as required in [25] and [26].”
• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, unknown): “Recalling some existing results on MASs, there are mainly four types of event-triggered schemes: 1) event-based sampling scheme [54]; 2) model-based event-triggered scheme [66]; 3) sampled-data-based event-triggered scheme [60]; and 4) self-triggered sampling scheme [68].”
• Event-triggered communication and control of networked systems for multi-agent consensus (2017, background): “Then, given the closed-loop dynamics (52), we have”