Concurrent-Learning-Based Adaptive Critic Formation for Multirobots Under Safety Constraints

This article presents a concurrent learning-based adaptive critic formation for multirobots under safety constraints, which comprises of an initial formation consensus item and a collision-free adaptive critic policy. First, based on directed graph communication, an initial formation consensus item...

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Vydáno v:	IEEE internet of things journal Ročník 12; číslo 6; s. 7610 - 7621
Hlavní autoři:	Cheng, Yunjie, Shao, Xingling, Li, Jiangmiao, Liu, Jun, Zhang, Qingzhen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 15.03.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive critic formation Artificial neural networks Automation Collision avoidance concurrent learning Constraints Convergence Dynamic programming Formation control Graph theory Instruments Internet of Things Learning Moving obstacles Multiple robots multirobots Optimal control Penalty function Real time Robot kinematics Safety safety constraints Safety critical Vectors
ISSN:	2327-4662, 2327-4662
On-line přístup:	Získat plný text
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