Consensus Congestion Control in Multirouter Networks Based on Multiagent System

Yang, Xinhao; Xu, Shiyi; Li, Ze

doi:10.1155/2017/3574712

Cited by 6 publications

(3 citation statements)

References 31 publications

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“…Similarly, for SLS, how to efficiently control it to a desired state is also an important issue. In order to regulate a network to reach a desired state, control schemes are usually applied in various real networks, such as the power grids, 26 the Internet, 27 the transportation networks, 28 and the communication networks 29 . Among the various control schemes, the pinning control is of particular concern, as it only needs to control a small number of nodes in a network 30‐32 .…”

Section: Introductionmentioning

confidence: 99%

Successive lag synchronization of nonlinear stochastic networks with arbitrary structure via pinning control

Wang

et al. 2022

Intl J Robust & Nonlinear

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In this article, a new nonlinear stochastic network with arbitrary structure and noise is proposed for realizing the successive lag synchronization (SLS).Both the constant and adaptive pinning control laws are designed respectively to regulate the SLS to desired chaotic states, where the network structure can be directed, weighted, time-varying and even not strongly connected. Several sufficient conditions for guaranteeing the stochastic asymptotic stability of SLS are derived by means of the Lyapunov stability theory. First, we demonstrate that the pinned nodes can be fixed via 1-dimensional inequalities, which explicitly provide how many nodes and which nodes should be controlled. Besides, those connections from a node with a given number to other nodes with smaller numbers will lead to the increase of pinned nodes. Second, our results indicate that, in order to make the SLS stable the coupling strength must belong to a bounded interval for both the pinning control schemes. Finally, we conclude that strong noise perturbation will lead to the increase of pinned nodes and even break the SLS. The theoretical results are validated with different numerical examples by embedding the chaotic Chua's circuit to each node.

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Section: Introductionmentioning

confidence: 99%

Successive lag synchronization of nonlinear stochastic networks with arbitrary structure via pinning control

Wang

et al. 2022

Intl J Robust & Nonlinear

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“…ese drawbacks may lead to a threat of system performance and even result in network paralysis. erefore, the investigation that how to promote the utilization rate of communication bandwidth is studied extensively in [6][7][8][9][10][11] and references therein. e stochastic noise and exogenous disturbance affect the stability and performance of the system greatly.…”

Section: Introductionmentioning

confidence: 99%

Hybrid-Driven Mechanism Based on Uncertain Network for Markov Jump System with Quantizations and Delay

et al. 2020

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is paper investigates the hybrid-driven mechanism problem for Markov jump system, where both channel quantization (BCQ) and network-induced delay based on uncertain network are considered. Firstly, comparing with the traditional event-triggered scheme, a hybrid-driven mechanism is employed in networked control systems (NCSs) for the finite capacity of communication bandwidth resources and system performance in equilibrium. en, the quantization technology is applied in the communication channel from sensor-to-controller and controller-to-actuator. e application of BCQ is for further investigation that mitigate data packet transmission rate. irdly, Markov jump system is modeled for the hybrid-driven mechanism and network-induced delay. By constructing the Lyapunov-Krasovskii function, a sufficient condition is derived as the stability criterion, and the controller is designed in which the nonlinear term is rewritten for simplifying the calculation. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed approach.

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“…I N recent years, synchronization of multiagent networks with distributed control protocols has obtained great attention by researchers from different fields, formation and containment control, sensor networks, multiple agent supporting systems, distributed computation, multiple robot systems and network congestion alleviation, et al [1]- [15]. According to different structures, multiagent networks are usually categorized into two types: leader-following ones and leaderless ones, which are associated with leader-following synchronization and leaderless synchronization, respectively.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks With Given Cost Budgets

Wang

Liu

et al. 2018

IEEE Access

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The current paper addresses the distributed guaranteed-cost synchronization problems for general high-order linear multiagent networks. Existing works on the guaranteedcost synchronization usually require all state information of neighboring agents and cannot give the cost budget previously. For both leaderless and leader-following interaction topologies, the current paper firstly proposes a dynamic output feedback synchronization protocol with guaranteed-cost constraints, which can realize the tradeoff design between the energy consumption and the synchronization regulation performance with the given cost budget. Then, according to different structure features of interaction topologies, leaderless and leader-following guaranteedcost synchronization analysis and design criteria are presented, respectively, and an algorithm is proposed to deal with the impacts of nonlinear terms by using both synchronization analysis and design criteria. Especially, an explicit expression of the synchronization function is shown for leaderless cases, which is independent of protocol states and the given cost budget. Finally, numerical examples are presented to demonstrate theoretical results.

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Consensus Congestion Control in Multirouter Networks Based on Multiagent System

Cited by 6 publications

References 31 publications

Successive lag synchronization of nonlinear stochastic networks with arbitrary structure via pinning control

Successive lag synchronization of nonlinear stochastic networks with arbitrary structure via pinning control

Hybrid-Driven Mechanism Based on Uncertain Network for Markov Jump System with Quantizations and Delay

Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks With Given Cost Budgets

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