Leader–follower synchronization of networked multi‐agent systems via hybrid protocols

Shen, Yuan; Liu, Xinzhi

doi:10.1002/asjc.3179

Cited by 5 publications

(1 citation statement)

References 39 publications

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“…It is well known that stabilization is a prerequisite for a system to be able to operate properly, so the method of achieving system stabilization by designing suitable external control has received wide attention. Currently, many experts have proposed many effective control methods, such as event-triggered control, 11 tracking control, 12 feedback control, 13 impulse control, 14 fuzzy control 15 and hybrid control, 16,17 and so forth, which have their own advantages and should be chosen according to the specific situation in dealing with practical problems. This paper is a study of the stabilization problems of networked systems, and it is well-known that when signals are transmitted between physical devices through network media, it is easy to cause waste of communication resources and lead to communication channel congestion.…”

Section: Introductionmentioning

confidence: 99%

Resilient adaptive event‐triggered synchronization control of piecewise‐homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Zhao,

Zhang,

Xiong

et al. 2023

Intl J Robust & Nonlinear

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SummaryUnder the aperiodic Denial‐of‐service (DoS) attacks, this paper studies the resilient adaptive event‐triggered synchronization control problem for a class of Piecewise‐Homogeneous Uncertain Markov Jump Neural Networks (PHUMJNNs) with time‐varying delays. First of all, a new way of carving DoS attacks is given from the defenders' perspective, that is, aperiodic DoS attacks based on fixed detection periods. Then, under such attacks, a new Resilient Adaptive Event‐triggered Communication (RAETC) is designed between sensor and controller, which has a threshold function based on the net change rate and is real‐time updated depending on the present sampling state. Next, a single functional is used in the construction of the Lyapunov‐Krasovskii functional, while a new looped functional is introduced that makes full use of the state information of the current instant , the trigger instant and the next trigger instant . Based on the constructed single functional, under the framework of the input delay method and the linear matrix inequality technique, the exponential mean square stabilization criterion of the error system is obtained, which makes the master system and the slave system synchronized. In the end, three simulation examples are used to illustrate the validity of the obtained results.

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Section: Introductionmentioning

confidence: 99%

Resilient adaptive event‐triggered synchronization control of piecewise‐homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Zhao,

Zhang,

Xiong

et al. 2023

Intl J Robust & Nonlinear

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Observer‐based adaptive event‐triggered containment control of linear multiagent systems with non‐autonomous leaders

Zhao,

Deng,

et al. 2024

Asian Journal of Control

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This paper investigates the containment control problem of linear multiagent systems (MASs) with multiple non‐autonomous leaders on a directed graph. First, an event‐triggered compensator is designed for each follower to estimate the convex combination of non‐autonomous leaders' states. The compensator is designed with the following three features: (1) It can estimate the convex combination of non‐autonomous leaders' states over directed graphs; (2) it is fully distributed; and (3) the designed event‐triggered mechanisms (ETMs) are composite dynamic ETMs, and each follower does not have to monitor the sampling errors continuously. Then, a state observer is developed for each follower based on the output feedback. Based on the designed compensator and state observer, an event‐triggered controller is developed, ensuring that each follower's state converges exponentially to an arbitrarily small neighborhood centered on the convex combination of leaders' states. Additionally, the proposed DETMs are free of Zeno behavior. Finally, the effectiveness of the developed control protocol is verified by two simulation examples.

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Synchronization of networked mechanical systems without velocity information

Jiang,

Zhang,

et al. 2024

Asian Journal of Control

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This paper studies the synchronization problem in a network of interconnected mechanical systems where the velocity information of the interacting agents is unavailable. To achieve this, a distributed law related to the kinetic and potential energies of the considered system is proposed. Specifically, by introducing an auxiliary system and a distributed filter, it is shown that the proposed algorithm enables the synchronization of the considered system by merely using the local position measurements. Moreover, it is also shown that, compared with the existing literature, the derived synchronization conditions are irrelevant to the eigenvalues of Laplacian matrix, thus circumventing the global information of the underlying system. Moreover, on condition that the absolute position information is available, it is also shown that apart from the synchronization of agents, the discrepancy between the position variable of the original system and that of the auxiliary variable tends to zero eventually. Finally, a concrete example and some comparisons are conducted to support the formulated setup and the obtained theoretical results.

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Leader–follower synchronization of networked multi‐agent systems via hybrid protocols

Cited by 5 publications

References 39 publications

Resilient adaptive event‐triggered synchronization control of piecewise‐homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Resilient adaptive event‐triggered synchronization control of piecewise‐homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Observer‐based adaptive event‐triggered containment control of linear multiagent systems with non‐autonomous leaders

Synchronization of networked mechanical systems without velocity information

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