Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks

Li, Huaqing; Liao, Xiaofeng; Chen, Guo; Hill, David J.; Dong, Zhaoyang; Huang, Tingwen

doi:10.1016/j.neunet.2015.01.006

Cited by 167 publications

(68 citation statements)

References 35 publications

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“…Multiagent systems not only have the characteristics of resource sharing, good coordination, high distribution, and strong autonomy, but also can cooperatively solve large-scale complex tasks [18][19][20][21][22][23]. However, as an emerging issue, the coordination control of multiagent systems still faces many problems in theoretical researches and practical applications.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Discrete-Time Distributed Consensus Optimization over Time-Varying Graphs

Lü

2017

Complexity

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This paper focuses on a class of event-triggered discrete-time distributed consensus optimization algorithms, with a set of agents whose communication topology is depicted by a sequence of time-varying networks. The communication process is steered by independent trigger conditions observed by agents and is decentralized and just rests with each agent's own state. At each time, each agent only has access to its privately local Lipschitz convex objective function. At the next time step, every agent updates its state by applying its own objective function and the information sent from its neighboring agents. Under the assumption that the network topology is uniformly strongly connected and weight-balanced, the novel event-triggered distributed subgradient algorithm is capable of steering the whole network of agents asymptotically converging to an optimal solution of the convex optimization problem. Finally, a simulation example is given to validate effectiveness of the introduced algorithm and demonstrate feasibility of the theoretical analysis.

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Section: Introductionmentioning

confidence: 99%

Event-Triggered Discrete-Time Distributed Consensus Optimization over Time-Varying Graphs

Lü

2017

Complexity

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“…Different from the traditional discrete-time updating controllers, the eventtriggered controller updates are determined by certain events that are triggered depending on the nodes' behavior. Based on the seminal works (Å ström and Bernhardsson 2002;Å ström 2008), the event-triggered controllers have been adopted widely for control science and engineering applications (Wang and Lemmon 2011;Mazo and Tabuada 2011;Tabuada 2007;Dimarogonas et al 2012;Almeida et al 2014;Liuzza et al 2013;Adaldo et al 2014;Zhu et al 2014;Fan et al 2013;Li et al 2015;Gao et al 2014;Zhou et al 2015a). In Dimarogonas et al (2012), the authors studied the event-triggered consensus of multiagent systems with undirected communication topology.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the considered model in Fan et al (2013) is a simple one, without being aware of nodes' inherent nonlinear dynamics. In Li et al (2015), the authors studied event-triggered synchronization of complex dynamical systems, in which inherent nonlinear dynamics of nodes have been considered. However, the triggering function designed in Li et al (2015) still need to decouple the actual states of the nodes.…”

Section: Introductionmentioning

confidence: 99%

“…In Li et al (2015), the authors studied event-triggered synchronization of complex dynamical systems, in which inherent nonlinear dynamics of nodes have been considered. However, the triggering function designed in Li et al (2015) still need to decouple the actual states of the nodes. Hence, we are eager to consider the synchronization problem of complex networks via distributed event-triggered diffusions, which has rarely been considered (Liuzza et al 2013;Adaldo et al 2014;Li et al 2015;Gao et al 2014;Zhou et al 2015a).…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the event-triggering laws avoid continuous communications between nodes, which is a generalization of the event-triggering laws in Fan et al (2013) and Zhou et al (2015a). On the other hand, the event-triggering laws avoid decoupling the actual states of nodes, which is a generalization of the event-triggering laws in Li et al (2015). 3.…”

Section: Introductionmentioning

confidence: 99%

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Event-based exponential synchronization of complex networks

2016

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In this paper, we consider exponential synchronization of complex networks. The information diffusions between nodes are driven by properly defined events. By employing the M-matrix theory, algebraic graph theory and the Lyapunov method, two kinds of distributed eventtriggering laws are designed, which avoid continuous communications between nodes. Then, several criteria that ensure the event-based exponential synchronization are presented, and the exponential convergence rates are obtained as well. Furthermore, we prove that Zeno behavior of the event-triggering laws can be excluded before synchronization being achieved, that is, the lower bounds of inter-event times are strictly positive. Finally, a simulation example is provided to illustrate the effectiveness of theoretical analysis.

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Bounded synchronization of complex dynamical networks with prescribed performance via event‐based transmission strategy

Fan

Wei

2019

Adaptive Control & Signal

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This paper addresses a novel prescribed performance synchronization of complex dynamical networks by means of event-triggered communication protocols.With the designed controller and proposed even-triggered communication strategy, this paper have advantages of guaranteeing the transient and steady-state performance of complex dynamic networks and avoiding the continuous communication of networks for reducing the number of communications and saving the network resources. In addition, the Zeno behavior is avoided in the networks. At last, the effectiveness of the theoretic results obtained is verified via the application in the complex dynamical network with Chua's circuit.As we all know, in the past several years, with the rapid development of digital computers, the event-based communication schemes have received significant attention in signal processing. 24,25 Considering the event-based communication schemes, the information transmission from the sensors to the networks is permitted only when a particular condition of the event trigger function holds. Therefore, different from the common continuous transmission of information, the event-based communication mechanism can reduce the waste of network resources. To the present, the event-based communication synchronization problems of CNs have yielded considerable results. [26][27][28] Concretely, in the work of Li et al, 29 the authors studied the event-triggered intermittent communication synchronization problems for general directed CNs, which proposed a unified framework for synchronization and designed a newfangled distributed event-triggering sampling control method. For the Markovian jump CDNs with delayed, in the work of Zhou et al, 30 the researchers studied the exponential synchronization problems by proposing a novel randomly occurring event-based control method. The synchronization problems of CNs were investigated in the work of Dai et al 31 via distributed event-triggered communication method. Although the literary works mentioned earlier have contributed to the synchronization problem of event-driven communication in complex dynamic networks, the significance of the transient problem of synchronization course has not been considered.In fact, the transient performance of synchronization process is an important factor to consider. [32][33][34] In traditional synchronization course of CNs, the synchronization errors are testified to converge within a bounded set near zero, whose size decides by the designed parameters and some unknown bounded terms. Then, the prescribed performance control method 32 is raised to ensure that the tracking errors gather to a predefined bound accompanying with the convergence rate no less than a certain value. So far, the prescribed performance issues 32 have been expanded to the multiagent systems 35 and the complex dynamical (networks) systems. 36 However, the results proposed in related works 32-37 do not consider the event-triggered communication problem. As far as our knowledge is concerned, up to the present, no resul...

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Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks

Cited by 167 publications

References 35 publications

Event-Triggered Discrete-Time Distributed Consensus Optimization over Time-Varying Graphs

Event-Triggered Discrete-Time Distributed Consensus Optimization over Time-Varying Graphs

Event-based exponential synchronization of complex networks

Bounded synchronization of complex dynamical networks with prescribed performance via event‐based transmission strategy

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