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Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems

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An output feedback-based containment control strategy is proposed with an event triggered mechanism for a class of stochastic nonlinear multi-agent systems (MASs). For unavailable internal states of individual agent, a state observer is constructed for their estimations. The dynamic surface control (DSC) technology is employed to improve traditional backstepping, where a first-order filter is introduced for derivation calculation of virtual control laws. For the purpose of reducing communication resources, a fixed threshold based triggered strategy is presented to reduce data transmission bits over communication channels. It is proven that all signals in the closed-loop system are bounded in probability and the containment control is achieved. Finally, the effectiveness of the proposed control strategy is verified via two examples. (c) 2021 Elsevier Inc. All rights reserved.

ContainmentDynamic surfaceEvent-triggeredNeural networksStochastic multi-agent systemsNETWORKED CONTROL-SYSTEMSTRACKING CONTROLCONSENSUSDELAYSTABILIZATIONSCHEME

Yang, Yang、Xi, Xiaorui、Miao, Songtao、Wu, Jinran

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Nanjing Univ Posts & Telecommun

Queensland Univ Technol

2022

Applied mathematics and computation

Applied mathematics and computation

EISCI
ISSN:0096-3003
年,卷(期):2022.418
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