Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities

Amelina, Natalia; Granichin, Oleg; Granichina, Olga; Ivanskiy, Yury; Jiang, Yuming

doi:10.1109/ecc.2015.7330612

Cited by 10 publications

(3 citation statements)

References 20 publications

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“…Multiagent systems have many applications in civilian, security, and military areas [32,33]. A centralized approach to quantitative and qualitative modeling, analysis, constraint satisfaction, maintenance, and control seem to be too strict for these systems [34].…”

Section: Related Workmentioning

confidence: 99%

Multiagent Control of Airplane Wing Stability with “Feathers” under the Flexural Torsional Flutter

et al. 2022

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This paper proposes a novel method for the unbounded oscillation prevention of an aircraft wing under the flexural torsional flutter, an innovative multiagent attitude to control an aircraft wing with a surface consisting of managed rotating “feathers” (agents). Theoretical evaluation of the method demonstrates its high aptitude to avoid an aircraft wing’s flexural-torsional vibrations via expansion of the model’s ability to dampen the wing oscillations. It potentially allows increasing an aircraft’s speed without misgiving of the flutter. A new way to control an aircraft wing based on the Speed-Gradient methodology is suggested to increase the maximal possible flight speed without a flutter occurrence. Provided experiments demonstrate the theoretical advantage of the multiagent approach to the “feathers” rotation control.

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Section: Related Workmentioning

confidence: 99%

Multiagent Control of Airplane Wing Stability with “Feathers” under the Flexural Torsional Flutter

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Multiagent systems have many applications in civilian, security, and military areas [31,32]. Centralized quantitative and qualitative modeling, analysis, constraint satisfaction, maintenance, and control seem to be too strict for these systems [33].…”

Section: Related Workmentioning

confidence: 99%

Multiagent Control of Airplane Wing Stability with "Feathers" under the Flexural Torsional Flutter

Shalymov¹,

Granichin²,

Ivanskiy³

et al. 2021

Preprint

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This paper proposes a novel method for the prevention of the unbounded oscillation of an aircraft wings under the flexural torsion flutter. The paper introducing the novel multiagent method for control of an aircraft wing, assuming that the wing surface consists of controlled "feathers" (agents). Theoretical evaluation of the approach demonstrates its high ability to prevent flexural-torsional vibrations of an aircraft. Since the model expands the possibilities for damping the wing oscillations, which potentially allows an increase in aircraft speed without misgiving of flutter. The study exhibits that timing is the main limitation of dampening vibrations. A new method for controlling an aircraft wing is suggested to increase the maximal flight speed of an aircraft without flutter occurrence via a novel model of the bending-torsional vibrations of an airplane wing with controlled feathers on its surface and new control laws based on the Speed-Gradient methodology. Provided experiments demonstrate the theoretical and advantages of the multiagent approach to "feathers" movement control.

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“…In Amelina et al (2015a) a choice of an optimal step-size of consensus-type protocol for task redistribution among agents in a stochastic network with randomized priorities is considered. It is shown that a trade-off is made between noise sensitivity and the rate of convergence of control protocol while choosing its step-size.…”

Section: Introductionmentioning

confidence: 99%

Local voting protocol step-size choice for consensus achievement

Amelina¹,

Ivanskiy²,

Jiang³

et al. 2018

IJIEI

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In the paper a multi-agent network system of different computing nodes is considered. A problem of load balancing in the network is addressed. The problem is formulated as consensus achievement problem and solved via local voting protocol. Agents exchange information about their states in presence of noise in communication channels. For the system operating in noised conditions analytically obtained estimation of control protocol optimal step size value is given. The dependence of the system behaviour on value of control protocol step-size is demonstrated in simulation examples.

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Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities

Cited by 10 publications

References 20 publications

Multiagent Control of Airplane Wing Stability with “Feathers” under the Flexural Torsional Flutter

Multiagent Control of Airplane Wing Stability with “Feathers” under the Flexural Torsional Flutter

Multiagent Control of Airplane Wing Stability with "Feathers" under the Flexural Torsional Flutter

Local voting protocol step-size choice for consensus achievement

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