Pinning synchronization control for a class of discrete-time switched stochastic complex networks under event-triggered mechanism

Suo, Jinghui; Wang, Zidong; Shen, Bo

doi:10.1016/j.nahs.2020.100886

Cited by 37 publications

(12 citation statements)

References 41 publications

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“…As a collective feature in CDNs, the synchronization of CDNs has found a wide range of applications in a variety of research areas such as robotics system [25], communication engineering [32] and biological sciences [13], and a great many excellent results have been reported in the literature. So far, the most investigated synchronization mechanisms include phase synchronization, lag synchronization, complete synchronization, and cluster synchronization schemes, see, e.g., [3], [5], [6], [31], [36], [41], [47]- [51]. In particular, the cluster synchronization stands out as an interesting phenomenon with promising application potentials.…”

Section: Introductionmentioning

confidence: 99%

Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate

Wang

et al. 2023

IEEE Trans. Neural Netw. Learning Syst.

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In this paper, the cluster synchronization control problem is studied for discrete-time complex dynamical networks when the data transmission is subject to constrained bit rate. A bit rate model is presented to quantify the limited network bandwidth, and the effects from the constrained bit rate onto the control performance of the cluster synchronization are evaluated. A sufficient condition is first proposed to guarantee the ultimate boundedness of the error dynamics of the cluster synchronization, and then a bit rate condition is established to reveal the fundamental relationship between the bit rate and certain performance index of the cluster synchronization. Subsequently, two optimization problems are formulated to design the desired synchronization controllers with aim to achieve two distinct synchronization performance indices. The co-design issue for the bit rate allocation protocol and the controller gains is further discussed to reduce the conservatism by locally minimizing a certain asymptotic upper bound of the synchronization error dynamics. Finally, three illustrative simulation examples are utilized to validate the feasibility and effectiveness of the developed synchronization control scheme.

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Section: Introductionmentioning

confidence: 99%

Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate

Wang

et al. 2023

IEEE Trans. Neural Netw. Learning Syst.

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“…It is noted that results about synchronization of SCNs are based on continuous case or discrete case, respectively [10,[34][35][36][37][38][39]. However, there are many different time scale scenarios.…”

Section: Introductionmentioning

confidence: 99%

Synchronization of time scales switched complex networks via impulsive couplings

Pei

Chen

2023

Math Methods in App Sciences

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We investigate the asymptotic synchronization problem of switched complex networks (SCNs) on time scales. Switches are made by a following time sequence with a dwell time constraint. By designing a Lyapunov function and a matrix inequality, self‐synchronizing criteria for SCNs are derived based on time scales theory. An impulsive coupling approach is designed to control links between nodes at the impulsive time. It is shown that the non‐synchronized SCNs can be synchronized by impulsive coupling with interval constraint. Three simulations on different time scales verify the effectiveness of our conclusions.

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“…On the other hand, an event-triggered mechanism (ETM), as a useful strategy to reduce resource consumption, has been extensively studied in the literature [10], [11], [12]. However, Zeno behaviors may occur in the continuous triggered systems, namely, the numerous triggers would happen in a finite-time interval, rendering the ETM inappropriate for practical engineering applications [13].…”

Section: Introductionmentioning

confidence: 99%

Proportional-integral synchronization control for complex dynamical networks: a switching event-triggered approach

Suo

Shi²

2022

International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022)

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The proportional-integral synchronization control problem is investigated for a class of complex dynamical networks with coupling delay via a switching event-triggered mechanism. A switching event-triggered mechanism is adopted to determine when a certain control signal should be transmitted, which reduces the updates of the controllers and excludes the Zeno behavior. A synchronization criterion for complex dynamical networks, under a proportional-integral control strategy, is established. In addition, the proportional-integral controller gain matrices and the event-triggered parameters are jointly designed. The validity of the proposed results could be illustrated by a numerical example.

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Pinning synchronization control for a class of discrete-time switched stochastic complex networks under event-triggered mechanism

Cited by 37 publications

References 41 publications

Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate

Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate

Synchronization of time scales switched complex networks via impulsive couplings

Proportional-integral synchronization control for complex dynamical networks: a switching event-triggered approach

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