Robust <i>H<sub>∞</sub>
                  </i> Pinning Synchronization for Complex Networks With Event-Triggered Communication Scheme

Xing, Wen; Shi, Peng; Agarwal, Ramesh K.; Li, Liya

doi:10.1109/tcsi.2020.3004170

Cited by 56 publications

(19 citation statements)

References 36 publications

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“…[7][8][9] Consequently, many excellent results have been reported on the synchronization of CDNs. [10][11][12][13][14] However, most of the existing literature are confined to synchronization of CDNs with single weight, but in practice, many practical networks can be described by CDNs with multiweights, such as transportation networks, social networks, and communication networks. Recently, a great number of research results have been reported on the synchronization of CDNs with multiple weights.…”

Section: Introductionmentioning

confidence: 99%

“…Especially, the synchronization problem, has become a focus due to its wide application in traffic systems, smart grids, and multiagent systems 7‐9 . Consequently, many excellent results have been reported on the synchronization of CDNs 10‐14 . However, most of the existing literature are confined to synchronization of CDNs with single weight, but in practice, many practical networks can be described by CDNs with multiweights, such as transportation networks, social networks, and communication networks.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Sakthivel

Kwon

Park

et al. 2022

Intl J Robust & Nonlinear

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This article addresses the fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks against deception attacks. An event‐triggered mechanism is proposed to reduce the redundant data transmission over the communication networks. Considering the network communication security, this article investigates deception attacks in the observer, where the adversary attempts to inject some false data in the measurement output to modify the transmitted signal in the communication networks. Some stochastic variables obeying the Bernoulli distribution are expressed to describe the probability of the deception attacks, which is determined by an attacker. Then based on Lyapunov stability theory, robust analysis method, some novel solvability criteria are presented such that the resultant augmented error system is asymptotically stable with a guaranteed H∞$$ {H}_{\infty } $$ performance index. Further, the existence criterion of the desired event‐triggered estimator is proposed in terms of a set of linear matrix inequalities. Finally, two illustrative examples including an F‐404 aircraft engine model are provided to verify the effectiveness of the developed estimator design method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Sakthivel

Kwon

Park

et al. 2022

Intl J Robust & Nonlinear

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“…The complex dynamical network has been widely employed to describe many real networks such as the food webs, 1 the wireless sensor network, 2,3 the brain network, 4,5 the electrical power grids, 6,7 World‐Wide Web, 8 and so on. It is remarkable that these studies as reviewed in References 9‐15 only focus on the collective behavior of nodes such as synchronization, nevertheless, the all the links are regarded only as playing the auxiliary and secondary role for all the nodes tending synchronization. In order words, the dynamics of links in the complex dynamical network should be transformed into an independent dynamical subsystem and their dynamics should be considered as reviewed in References 16‐22.…”

Section: Introductionmentioning

confidence: 99%

Tracking control for the nonlinear complex dynamical network assisted with outgoing links dynamics

Gao

Wang

Peng

et al. 2022

Intl J Robust & Nonlinear

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Along with the numerous highly interconnected nodes in real networks, a complex dynamical network shows the dynamic behaviors not only in the nodes but also in the links between nodes. This implies that the complex dynamical network can be considered to be composed of the two interconnected subsystems, the nodes subsystem (NS) and links subsystem (LS), and thus it has become evident that the dynamics of LS plays an important role in assisting NS to emerge the dynamic behavior. However, all the dynamic links are rarely considered to be the dynamic system as a whole in the existing literature. In this article, the outgoing links vector is introduced to describe the state of LS and the dynamics of LS is proposed and utilized to investigate the tracking task of NS. Here, the bounded uncertainties are considered in the dynamic model of NS and the nonlinearities are considered in the dynamic model of LS, which is rarely considered in the existing literature, by which the adaptive controller is synthesized to overcome the uncertainties and complete the tracking task of NS assisted with the constructed coupling term in LS. The results in this article show that when the controlled NS is tracking the given target, the LS is tracking the proposed auxiliary target. Finally, the effectiveness of the proposed theoretic results is verified via the example. K E Y W O R D Sadaptive tracking control, complex dynamical network with uncertainties and nonlinearities, the links subsystem, the nodes subsystem, the outgoing links dynamics INTRODUCTIONIn the last decades, the study of complex dynamical network mainly focuses on the structure and function of network, especially, how the links topology between nodes can effectively assist all the nodes to track the given reference signals, which has attracted extensive attention from many scholars. The complex dynamical network has been widely employed to describe many real networks such as the food webs, 1 the wireless sensor network, 2,3 the brain network, 4,5 the electrical power grids, 6,7 World-Wide Web, 8 and so on. It is remarkable that these studies as reviewed in References 9-15 only focus on the collective behavior of nodes such as synchronization, nevertheless, the all the links are regarded only as playing the auxiliary and secondary role for all the nodes tending synchronization. In order words, the dynamics of links in the complex dynamical network should be transformed into an independent dynamical subsystem and their dynamics should be considered as reviewed in References 16-22.

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“…In contrast to the traditional timetriggered scheme, the ET scheme can decide whether to send the currently sampled data to the next control terminal when a predefined protocol is violated. This is an effective method for reducing the waste of computing resources and enhancing the efficiency of transmission [16], [19], [20] and the references therein. For example, the load frequency control was designed in [21] for interconnected multi-area power systems, where an ET scheme is used to reduce unwanted data transfers through the network.…”

Section: Introductionmentioning

confidence: 99%

Resilient Adaptive Event-Triggered Control for Singular Networked Cascade Control Systems Under DoS Attacks

Sathishkumar

Liu

2022

IEEE Access

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This paper addresses the problem of resilient adaptive event-triggered control for singular networked cascade control systems (SNCCSs) under time-varying actuator faults, actuator saturation, DoS attacks, external disturbances, and time-varying delay. The purpose of DoS attacks is to obstruct network communication from time to time, which happens aperiodically. According to the adaptive threshold technique, a resilient adaptive event-triggered mechanism (AETM) is developed to reduce the transmission frequency and also combating the aperiodic DoS attacks. Moreover, the discussed SNCCS is modeled as a switched system due to the presence of attacks that is closely restricted by DoS frequency and duration. Then, the exponential admissible analysis and controller synthesis conditions of the resulting switched SNCCS are obtained and the extended dissipative performance is satisfied by using the Wirtinger-based integral inequality and Lyapunov-Krasovskii functional (LKF) approach. Additionally, a co-design method of the primary and secondary controllers and triggering parameters for the system under consideration is given. Simulation results of a boiler-turbine power plant are presented to validate the proposed method.INDEX TERMS Singular networked cascade control systems (SNCCSs); Adaptive event-triggered (ET) control; Actuator saturation; DoS attacks.

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Robust H_∞ Pinning Synchronization for Complex Networks With Event-Triggered Communication Scheme

Cited by 56 publications

References 36 publications

Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Tracking control for the nonlinear complex dynamical network assisted with outgoing links dynamics

Resilient Adaptive Event-Triggered Control for Singular Networked Cascade Control Systems Under DoS Attacks

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Robust H∞ Pinning Synchronization for Complex Networks With Event-Triggered Communication Scheme

Cited by 56 publications

References 36 publications

Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Tracking control for the nonlinear complex dynamical network assisted with outgoing links dynamics

Resilient Adaptive Event-Triggered Control for Singular Networked Cascade Control Systems Under DoS Attacks

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Robust H_∞ Pinning Synchronization for Complex Networks With Event-Triggered Communication Scheme