Articles with "distributed optimal" as a keyword



Distributed optimal consensus of second-order multi-agent systems

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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… read more here.

Keywords: multi agent; distributed optimal; order multi; optimal consensus ... See more keywords
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Distributed optimal formation algorithm for multi-satellites system with time-varying performance function

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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.… read more here.

Keywords: optimal formation; distributed optimal; time varying; formation ... See more keywords

Distributed Optimal Reactive Power Control of Power Systems

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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… read more here.

Keywords: distributed optimal; optimal reactive; power; power control ... See more keywords

Distributed Optimal Control for HVAC Systems Adopting Edge Computing—Strategy, Implementation, and Experimental Validation

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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… read more here.

Keywords: control; strategy; edge computing; optimal control ... See more keywords

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

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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… read more here.

Keywords: time; optimal control; distributed optimal; operation loss ... See more keywords
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Learning-Accelerated ADMM for Distributed DC Optimal Power Flow

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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… read more here.

Keywords: learning accelerated; optimal power; distributed optimal; power flow ... See more keywords

Distributed Optimal Coordination for Distributed Energy Resources in Power Systems

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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… read more here.

Keywords: optimal coordination; coordination; distributed optimal; energy resources ... See more keywords

Exponential Convergence of Distributed Optimal Coordination for Nonlinear Multiagent Systems Under Directed Graphs

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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… read more here.

Keywords: nonlinear multiagent; optimal coordination; exponential convergence; multiagent systems ... See more keywords

Obstacle Avoidance in Distributed Optimal Coordination of Multirobot Systems: A Trajectory Planning and Tracking Strategy

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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,… read more here.

Keywords: trajectory planning; avoidance distributed; distributed optimal; obstacle ... See more keywords

Distributed Optimal Contract for Data Rewarding With Network Effects

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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… read more here.

Keywords: distributed optimal; data rewarding; optimal contract; contract ... See more keywords

Adaptive Fuzzy Distributed Optimal FTC for Nonlinear Multiagent Systems Based Multiplayer Differential Game

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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… read more here.

Keywords: nonlinear multiagent; distributed optimal; feedback; multiagent systems ... See more keywords