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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.404
Abstract: Abstract This paper presents a novel algorithm to solve the economic dispatch problem, which guarantees to achieve the optimal dispatch values within a prescribed time in a distributed fashion. That is, the convergence time for…
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Keywords:
dispatch;
prescribed time;
time;
economic dispatch ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1136
Abstract: This paper proposes a discrete-time, distributed algorithm for multi-agent networks to achieve the minimum l1-norm solution to a group of linear equations known to possess a family of solutions. We assume each agent in the…
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Keywords:
discrete time;
minimum norm;
distributed algorithm;
time distributed ... See more keywords
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Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2083256
Abstract: This paper is concerned with the issues of finite-time distributed resilient state estimation subject to hybrid cyber-attacks. The information exchanges among estimators are governed by an improved dynamic event-triggered mechanism, in which the time-varying threshold…
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Keywords:
distributed resilient;
time;
finite time;
time distributed ... See more keywords
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Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105683
Abstract: In this paper, a novel finite-time distributed identification method is introduced for nonlinear interconnected systems. A distributed concurrent learning-based discontinuous gradient descent update law is presented to learn uncertain interconnected subsystems' dynamics. The concurrent learning…
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Keywords:
time;
nonlinear interconnected;
finite time;
time distributed ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3137150
Abstract: We consider a flow network that is described by a digraph, each edge of which can admit a flow within a certain interval, with nonnegative end points that correspond to lower and upper flow limits.…
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Keywords:
topology;
finite time;
flow balancing;
time distributed ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3132375
Abstract: To improve the accuracy and efficiency of 3D LiDAR mapping, real-time cooperative SLAM has been considered to explore large and complex areas. To merge the individual maps from multiple robots, it is crucial to identify…
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Keywords:
slam;
distributed cooperative;
time distributed;
real time ... See more keywords
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Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2021.3133541
Abstract: This paper considers the fixed-time distributed optimization problem with consensus constraint and strongly convex local cost functions, and a distributed optimization algorithm involving two stages is designed. The first stage is to make each agent…
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Keywords:
optimization algorithm;
distributed optimization;
time distributed;
fixed time ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3154369
Abstract: A brain-computer interface (BCI) based on motor imagery (MI) from the same limb can provide an intuitive control pathway but has received limited attention. It is still a challenge to classify multiple MI tasks from…
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Keywords:
attention network;
time distributed;
distributed attention;
based motor ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.2997697
Abstract: In this article, we present a novel predefined-time distributed optimization protocol for the resource allocation problem (RAP). Different from the existing finite/fixed-time distributed optimal algorithms, the proposed protocol is built on the time-varying time-based-generator scheme.…
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Keywords:
time;
time distributed;
generator scheme;
predefined time ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3113090
Abstract: Aiming to addressing the nonrepetitive uncertainties of multiagent systems, this work proposes a discrete-time-distributed adaptive iterative learning control (DDAILC) scheme for an output consensus problem, where two fundamental requirements in the traditional distributed iterative learning…
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Keywords:
time;
discrete time;
distributed adaptive;
control ... See more keywords
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Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3195293
Abstract: This article investigates the finite-time distributed adaptive consensus for nonlinear uncertain multiagent systems (MASs). The performance of the consensus errors can be prespecified in a funnel sense. Three achievements make this work depart from available…
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Keywords:
control;
finite time;
time distributed;
multiagent systems ... See more keywords