An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

By Lei Ding, Qing-Long Han, Xiaohua Ge, Xianming Zhang. IEEE Transactions on Cybernetics, 2018

985 citations recorded by the source corpus.

Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from both theoretical and practical perspectives due to the fact that it enables all agents eventually to reach an agreement upon a common quantity of interest while significantly alleviating utilization of communication and computation resources. This paper aims to provide an overview of recent advances in event-triggered consensus of MASs. First, a basic framework of multiagent event-triggered operational mechanisms is established. Second, representative results and methodologies reported in the literature are reviewed and some in-depth analysis is made on several event-triggered schemes, including event-based sampling schemes, model-based event-triggered schemes, sampled-data-based event-triggered schemes, and self-triggered sampling schemes. Third, two examples are outlined to show applicability of event-triggered consensus in power sharing of microgrids and formation control of multirobot systems, respectively. Finally, some challenging issues on event-triggered consensus are proposed for future research.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/355e75253a1cfd6a55299f993fdd9b8c3d09bb1a

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. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Lei Ding
5. Chen Peng
6. Derui Ding
7. Dong Yue
8. Zidong Wang

In Electrical and Electronic Engineering

1. Qing-Long Han
2. Xiaohua Ge
3. Zhouhua Peng
4. Lei Ding
5. Jun Wang
6. Hongtao Sun
7. Dan Wang
8. Xianming Zhang

Citations in the corpus

• An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (2021, background): “Employing a fleet of ASVs rather than a single one offers several advantages, including increased efficacy, performance, scalability, robustness, and emergence of new capabilities[16],”
• Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks (2019, background): “To overcome these constraints, both time-triggered and event-triggered consensus control strategies have been proposed (see [21], [23]–[25]).”
• Dynamic Event-Triggered Distributed Coordination Control and its Applications: A Survey of Trends and Techniques (2020, methodology): “Such an ETT-based scheduling mechanism is commonly known as a sampled-data-based ETSM [3], [8] or a periodic ETSM [26], [27] in the literature.”
• Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks (2020, neutral): “(See [2], [12], [17], [27], and the references therein.”
• A Survey on Security Communication and Control for Smart Grids Under Malicious Cyber Attacks (2019, background): “Fortunately, physical power dynamics can be captured by each node in graphs and this provides a convenient way to model the cause-effect relationships between the cyber data and the grid state signals [52], [107].”
• A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks (2020, background): “More results on this topic can be found in [32] and the references therein.”
• Networked control systems: a survey of trends and techniques (2020, background): “H∞ L2 Analysis in depth on the ETS (44) can be found in [84].”
• Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, background): “in the recent surveys [104], [106] in the context of multiagent coordination control.”
• A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems (2019, background): “Furthermore, considering limited communication and energy resources, event-triggered consensus protocol receives considerable research attention and some interesting reviews on this topic are published in [98].”
• A survey of distributed optimization (2019, background): “For more details, please refer to Ding, Han, Ge, and Zhang (2018) ; Nowzari, Cortés, and Pappas (2018) ; Nowzari, Garcia, and Cortés (2019) ; Yi (2017 , and references therein).”
• Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies (2020, background): “Self-triggered schemes have also been found in [40] and [41].”