Výsledky vyhledávání - "multiple agents"

Akademický článek

Adaptive Model-Free Formation Control for Multiple-Agent Under Event- Triggered Mechanism

Autor: Shixin Huang, Xiangjian Chen, Di Li

Publikováno v: IEEE Access, Vol 12, Pp 151178-151187 (2024)

In this article, a distributed model-free mode control strategy combined with event-trigger mechanism is proposed to solve the problem of complex interaction, limited communication range, random link packet loss and unknown dynamics for multi agents

Externí odkaz: https://doaj.org/article/f4e5addb63844151b0239e652be40e91

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Akademický článek

A Comprehensive Review of Parallel Autonomy Systems Within Vehicles: Applications, Architectures, Safety Considerations, and Standards

Autor: Divya Garikapati, Sundaresan Poovalingam, William Hau, Ricardo de Castro, Chaitanya Shinde

Publikováno v: IEEE Access, Vol 12, Pp 150395-150418 (2024)

With traditional autonomy systems still far from achieving level 5 autonomy, Parallel Autonomy (PA) systems demonstrate increased potential to enable driving for all, regardless of the driver’s ability to perform the dynamic driving task. Their maj

Externí odkaz: https://doaj.org/article/81e97e7746a04ff387efdc25b595fbd3

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Akademický článek

Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem

Autor: Xiulan Shu, Anping Lin, Xupeng Wen

Publikováno v: Sensors, Vol 24, Iss 20, p 6698 (2024)

With the rapid advancement of drone technology, the efficient distribution of drones has garnered significant attention. Central to this discourse is the energy consumption of drones, a critical metric for assessing energy-efficient distribution stra

Externí odkaz: https://doaj.org/article/fb35ed361f2e48f09579eea7757a3575

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Akademický článek

Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning

Autor: Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

Publikováno v: Drones, Vol 8, Iss 9, p 481 (2024)

Reinforcement learning (RL) has been shown to be effective in path planning. However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. To this end

Externí odkaz: https://doaj.org/article/db990fb209bf414c8588491f33312aad

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Akademický článek

A Novel Method of Time-Varying Formation Control Based on a Directed Graph for Multiple Autonomous Underwater Vehicles

Autor: Gang Shao, Lei Wan, Huixi Xu

Publikováno v: Applied Sciences, Vol 14, Iss 14, p 6377 (2024)

Currently, autonomous underwater vehicles (AUVs) are facing various challenges, rendering multiple-AUV (multi-AUV) formation control a pivotal research direction. The issues surrounding formation control for a multi-AUV system to establish time-varyi

Externí odkaz: https://doaj.org/article/0488290e6a414e4d82ecda996ad050db

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Akademický článek

Early administration of multiple vasopressors is associated with better survival in patients with sepsis: a propensity score-weighted study

Autor: Xin Tong, Xiaopeng Xue, Chuanzhi Duan, Aihua Liu

Publikováno v: European Journal of Medical Research, Vol 28, Iss 1, Pp 1-9 (2023)

Abstract Background The association between the timing of administration of multiple vasopressors and patient outcomes has not been investigated. Methods This study used data from the MIMIC-IV database. Patients with sepsis who were administered two

Externí odkaz: https://doaj.org/article/6bce13584871487ca02b8c90b9d3dea2

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Akademický článek

Rethinking climate agreements: self-enforcing strategies for emission reduction through sanctions

Autor: Adam Lampert

Publikováno v: Environmental Research Letters, Vol 19, Iss 7, p 074068 (2024)

Although climate change is expected to cause significant negative impacts, climate treaties give hope for reducing greenhouse gas (GHG) emissions, potentially leading to less severe climate change. However, climate change is a public bad: If each cou

Externí odkaz: https://doaj.org/article/e49bea35ecc748268bcb01436c43c172

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