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pro vyhledávání: '"Safe set"'
This article introduces the Pareto Control Barrier Function (PCBF) algorithm to maximize the inner safe set of dynamical systems under input constraints. Traditional Control Barrier Functions (CBFs) ensure safety by maintaining system trajectories wi
Externí odkaz:
http://arxiv.org/abs/2410.04260
Deep reinforcement learning (DRL) has demonstrated remarkable performance in many continuous control tasks. However, a significant obstacle to the real-world application of DRL is the lack of safety guarantees. Although DRL agents can satisfy system
Externí odkaz:
http://arxiv.org/abs/2405.02754
We present Assignably Safe Extremum Seeking (ASfES), an algorithm designed to minimize a measured objective function while maintaining a measured metric of safety (a control barrier function or CBF) be positive in a practical sense. We ensure that fo
Externí odkaz:
http://arxiv.org/abs/2404.08842
Akademický článek
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Deep reinforcement learning (RL) excels in various control tasks, yet the absence of safety guarantees hampers its real-world applicability. In particular, explorations during learning usually results in safety violations, while the RL agent learns f
Externí odkaz:
http://arxiv.org/abs/2308.13140
Publikováno v:
IEEE Access, Vol 12, Pp 18021-18027 (2024)
The robustness of the networks is their capacity to remain operational in the presence of faults and disruptions, and thereby it is an important tool to provide data transmission in telecommunications networks such as wireless networks, enterprise ne
Externí odkaz:
https://doaj.org/article/e51cdc8da5ab4c398e549a5e6319bc5e
The need to increase the flexibility of production lines is calling for robots to collaborate with human workers. However, existing interactive industrial robots only guarantee intrinsic safety (reduce collision impact), but not interactive safety (c
Externí odkaz:
http://arxiv.org/abs/2204.03038
Publikováno v:
In Expert Systems With Applications 30 December 2023 234
Publikováno v:
In Computers and Operations Research November 2023 159
Akademický článek
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