Event-triggered communication and control of networked systems for multi-agent consensus

Abstract

This article provides an introduction to event-triggered coordination for multi-agent average consensus. We provide a comprehensive account of the motivations behind the use of event-triggered strategies for consensus, the methods for algorithm synthesis, the technical challenges involved in establishing desirable properties of the resulting implementations, and their applications in distributed control. We pay special attention to the assumptions on the capabilities of the network agents and the resulting features of the algorithm execution, including the interconnection topology, the evaluation of triggers, and the role of imperfect information. The issues raised in our discussion transcend the specific consensus problem and are indeed characteristic of cooperative algorithms for networked systems that solve other coordination tasks. As our discussion progresses, we make these connections clear, highlighting general challenges and tools to address them widespread in the event-triggered control of networked systems.

Bounded consensus for multiagent systems by event‐triggered data transmission, time delay, and predictor‐based control

“…According to Definitions 1 and 2, if the stability (ie, lim t→∞ e(t) = 0 N×1 ) and bounded stability (ie, lim t→∞ e(t) = c N ) of the closed-loop system (14) can be guaranteed, the desired consensus and bounded consensus can be respectively achieved as well.…”

“…For simultaneously achieving consensus while alleviating data transmission burden, an effective method is called the event‐triggered consensus control . With the event‐triggered schemes, the sampled data is broadcasted only by occurrence of an event instead of elapse of a certain sampling period . For example, an event‐triggered real‐time scheduler was proposed to choose appropriate control mode of a switched control law in the work of Xie et al By aid of a weighted matrix approach, an event‐triggered switched control law was investigated for Takagi‐Sugeno fuzzy systems in the work of Xie et al An event‐triggered data sampling scheme was designed and an observer‐based sliding mode control law was proposed for uncertain linear systems in the work of Cui and Xu .…”

Event-Triggered Consensus of Multi-Agent Systems with Jointly Connected Switching Topologies

“…Compared to classic continuous control approaches, event-based control has numerous advantages especially in enhancing control efficiency, such as avoiding continuously updating controllers and continuous communications among neighboring agents. The latter advantage is particularly evident when we focus on Internet of Things and other large-scale networks where the cyber operations, including processing, storage, and communication, must be viewed as a scare, globally shared resource [10]. Due to these practical considerations, it is not surprising that so many researchers are interested in event-triggered control and present plenty of results.…”

“…Due to these practical considerations, it is not surprising that so many researchers are interested in event-triggered control and present plenty of results. Applying event-driven control in networked systems poses some new challenges that do not exist in either area alone [10]. As pointed out in [10], researchers must consider how to deal with the natural asynchronism introduced into the systems and how to rule out the Zeno behavior.…”

“…Applying event-driven control in networked systems poses some new challenges that do not exist in either area alone [10]. As pointed out in [10], researchers must consider how to deal with the natural asynchronism introduced into the systems and how to rule out the Zeno behavior. Another challenge is that the separation principle cannot be used for event-triggered control systems anymore [11].…”