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Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-018-9879-3
Abstract: For the later development, the following denotations are (iteratively) defined by A10(η[3]) = η3−η1 η2−η1 , A11(η[5]) = η5(η4−η1) (η2−η1)(η3−η1) , A1i(η[3i+1]) = ∏3i+1 j=2i+2 ηj(η2i+1−η1) ∏i j=1(η2j−η2j−1)(η3−η1) , A20(η[3]) = η3 η2−η1…
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Keywords:
multi agent;
distributed optimal;
order multi;
optimal consensus ... See more keywords
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Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2018.1486512
Abstract: ABSTRACT This paper studies a fully distributed optimal formation flying problem for a multi-satellite system with a chief satellite and some deputy satellites, in order to seek the optimal formation via simple local information exchange.…
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Keywords:
optimal formation;
distributed optimal;
time varying;
formation ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2779806
Abstract: To accommodate the increasing penetration level of distributed generators (DGs) in the electrical energy power system, appropriate reactive power control of DGs, which can lead to the voltage profile improvement and power loss minimization, should…
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Keywords:
distributed optimal;
optimal reactive;
power;
power control ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3132033
Abstract: Internet of Things (IoT) has found increasing applications in industry, including the building automation field. Edge computing, a distributed computing paradigm using the computing resources of edge devices that are close to the sources of…
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Keywords:
control;
strategy;
edge computing;
optimal control ... See more keywords
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Published in 2021 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2020.3035059
Abstract: DC microgrids are growing in popularity due to their advantages in terms of simplicity and energy efficiency while connecting dc sources and dc loads. In traditional hierarchical schemes, optimization and control are implemented at different…
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Keywords:
time;
optimal control;
distributed optimal;
operation loss ... See more keywords
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Published in 2019 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3044839
Abstract: We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) where lines are shared between independent network partitions. Using previous…
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Keywords:
learning accelerated;
optimal power;
distributed optimal;
power flow ... See more keywords
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Published in 2017 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2627006
Abstract: Driven by smart grid technologies, distributed energy resources (DERs) have been rapidly developing in recent years for improving reliability and efficiency of distribution systems. Emerging DERs require effective and efficient coordination in order to reap…
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Keywords:
optimal coordination;
coordination;
distributed optimal;
energy resources ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2022.3198787
Abstract: In this article, the distributed optimal coordination problem of second-order uncertain nonlinear multiagent systems, which aims to satisfy a global constrained optimal objective, is formulated and investigated. To solve this problem, a couple of novel…
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Keywords:
nonlinear multiagent;
optimal coordination;
exponential convergence;
multiagent systems ... See more keywords
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Published in 2024 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2023.3337715
Abstract: This article studies the problem of obstacle avoidance in the distributed optimal coordination (DOC) for a class of uncertain multirobot systems. Due to the existence of obstacle regions, the considered optimization problem is intrinsically nonconvex,…
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Keywords:
trajectory planning;
avoidance distributed;
distributed optimal;
obstacle ... See more keywords
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Published in 2025 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2024.3515002
Abstract: Data rewarding is a novel business model that leads to an economic trend in mobile networks. In this scheme, the advertiser incentivizes mobile users (MUs) to watch advertisement (ads) and, in return, receive a reward…
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Keywords:
distributed optimal;
data rewarding;
optimal contract;
contract ... See more keywords
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Published in 2025 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3488015
Abstract: This article proposes an adaptive fuzzy distributed output-feedback optimal fault tolerant control (FTC) methodology for strict-feedback nonlinear multiagent systems with intermittent actuator faults. The proposed adaptive distributed FTC method is composed of a fuzzy feedforward…
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Keywords:
nonlinear multiagent;
distributed optimal;
feedback;
multiagent systems ... See more keywords