Event-triggered control for sampled-data cluster formation of multi-agent systems

Wang, Wei; Huang, Chi; Cao, Jinde; Alsaadi, Fuad E.

doi:10.1016/j.neucom.2017.04.028

Cited by 37 publications

(16 citation statements)

References 44 publications

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“…In [13], time-varying output formation-containment control of general linear multi-agent systems was considered. Cluster formation of second-order multi-agent systems with fixed and switching topologies was considered in [14]. Circular formation flight control problem was considered for unmanned aerial vehicles with external disturbance in [9].…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Control for Guaranteed-Cost Bipartite Formation of Multi-Agent Systems

2022

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This paper is concerned with event-triggered guaranteed-cost bipartite formation control of multi-agent systems with antagonistic interactions. In order to save the limited network communication bandwidth of multi-agent systems, event-triggered sampled-data transmission strategy is adopted. Event conditions are designed for both leader and followers to reduce the frequency of state transmission more effectively. According to the event-triggered sampled-data of the leader and followers, bipartite formation controllers are designed for followers. By using the event conditions and the Lyapunov method, the sufficient conditions for the realization of bipartite formation and guaranteed-cost bipartite formation are obtained in terms of linear matrix inequality, respectively. Finally, the effectiveness of the theoretical results is demonstrated by numerical examples.INDEX TERMS Multi-agent systems, guaranteed-cost, bipartite formation, antagonistic interactions, event-triggered sampling.

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Section: Introductionmentioning

confidence: 99%

Event-Triggered Control for Guaranteed-Cost Bipartite Formation of Multi-Agent Systems

2022

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“…Liu and Ji [18] considered the consensus problem of time-delayed first-order multiagent systems using the periodic sample and event hybrid control method. Wang et al [36] studied the cluster formation of nonlinear multiagent systems with a sampled-data event-triggered mechanism. Most recently, Sun et al [37] studied the bipartite consensus problem of multiagent systems with intermittent interaction under signed directed graph.…”

Section: Introductionmentioning

confidence: 99%

Event-Based Sampled-Data Average Consensus

Gong

Liu

et al. 2020

Mathematical Problems in Engineering

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This study addresses one of the most essential distributed control problems in multiagent systems, called the average consensus issue, using a new event-triggered sampling control perspective. Although the continuous-time sampling for average consensus has provided good results currently, a systematic investigation into the continuous-time agent dynamics with sampled-data control inputs under an event-triggered mechanism is critically lacking. The problem considered in this paper can be formulated into an average consensus problem of hybrid systems. The method considers three types of control schemes, among which periodic sampling is integrant. The first scheme is a classical sampling controller reinvestigated through a lemma. The second scheme realizes aperiodic control update as well as periodic communication, while the third scheme achieves both aspects aperiodically. Corresponding sufficient conditions of the aforementioned three schemes are derived such that the asymptotic stability of systems is ensured by using algebraic graph theory, matrix analysis, and Lyapunov theory. The constraints for the allowed sampling period, event parameter, and maximum eigenvalue of graph Laplacian are explicitly derived. Moreover, the potential Zeno behavior of agents due to the sampling control theory is avoided. Thus, a digitally implementable technique is provided. Finally, some numerical examples are provided to verify the effectiveness of the proposed theoretical analysis.

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“…Apart from these, in NCSs, the traditional periodic time‐triggered control with a fixed frequency may result in unnecessary actions in sampling and communicating. Thus, to more reasonably distribute and save the resources of the control system, event‐triggering strategies are developed [5–7], which can perform data sampling and transmission only when the desired performance‐dependent triggering conditions are satisfied.…”

Section: Introductionmentioning

confidence: 99%

Dynamic output feedback control for network‐based switched linear systems with performance dependent event‐triggering strategies

Liu

Zhang

2019

IET Control Theory & Applications

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Event-triggered control for sampled-data cluster formation of multi-agent systems

Cited by 37 publications

References 44 publications

Event-Triggered Control for Guaranteed-Cost Bipartite Formation of Multi-Agent Systems

Event-Triggered Control for Guaranteed-Cost Bipartite Formation of Multi-Agent Systems

Event-Based Sampled-Data Average Consensus

Dynamic output feedback control for network‐based switched linear systems with performance dependent event‐triggering strategies

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