Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements

By Yuan Fan, G. Feng, Yong Wang, C. Song. 2013

768 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/bf50f6e3cd10bffdcf12134c9ae89a4db26e2eb0

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. Shaocheng Tong
2. Tingwen Huang
3. Jinde Cao
4. Jiahu Qin
5. Michael Z. Q. Chen
6. D.W.C. Ho
7. Housheng Su
8. Yang Shi

In Control and Systems Engineering

1. Shaocheng Tong
2. Tingwen Huang
3. Tie-shan Li
4. Gang Feng
5. Yuanxin Li
6. Peng Shi
7. Wei Zhu
8. Lu Liu

Citations in the corpus

• Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers (2015, methodology): “Therefore, it can be noted that this algorithm is less conservative than the iterative algorithm in [19].”
• Event-Based Leader-following Consensus of Multi-Agent Systems with Input Time Delay (2015, background): “[16] proposed a basic event-triggered control algorithm for the distributed rendezvous problem of single-integrators using combinational measurements.”
• Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking (2023, methodology): “First, only bounded error tracking could be given in the aforementioned results, and zero-error tracking could not be achieved in [2], [25], [26], [27], [28], [29], [30], [31].”
• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “It should be mentioned that a combinational measurement approach to designing the event-triggered scheme is developed in [56] and [75] to overcome the limitation in L1), where the combinational measurement error is defined by z̃i(t) = zi(t) − zi(t k), and the ETC in (4) is modified as fi(z̃i(t)) ≤ i”
• Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control (2018, background): “IN RECENT years, control of multiagent systems has attracted great attention from many scientific communities, and typical topics include flocking problem [1], [2], formation problem [3], [4], consensus problem [5]–[10], connectivity preserving problem [11], rendezvous problem [12], cooperative outp”
• 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, positive): “Therefore, inspired by [17] and [18], we propose an improved self-triggered algorithm in this section.”
• Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies (2018, methodology): “In [19], it developed a novel combination measurement method to solve the consensus of MASs via event-triggered controller.”
• Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems (2015, background): “in [5] studied the distributed rendezvous problem for single-integrators with combinational measurements.”
• Event-based synchronisation of linear discrete-time dynamical networks (2015, methodology): “In [38], the inherent minimum inter-event time for continuous-time event-triggered systems is used to design an event-trigger strategy that can prevent continuous information broadcasting.”
• Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems (2014, background): “In [23], distributed event-triggered control of MASs with combinational measurements is investigated.”
• Event-based consensus of multi-agent systems with general linear models (2014, background): “However, the Laplacian matrix of communication topologymust be symmetric in Dimarogonas et al. (2012), Fan et al. (2013) and Seyboth et al. (2013).”
• Event-Triggered Schemes on Leader-Following Consensus of General Linear Multiagent Systems Under Different Topologies (2017, methodology): “Thus our goal is to make all followers track this leader, thus our final trajectory is a dynamic orbit based on the leader instead of a static point in average consensus problems [28], [29].”
• Neural-Network-Based Event-Triggered Adaptive Control of Nonaffine Nonlinear Multiagent Systems With Dynamic Uncertainties (2020, background): “In [17], the event-triggered control strategy of multiagent systems subject to combi-national measurements was investigated.”