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English(EN) Distributed Safe Consensus Under Asymmetric Input and Time-Varying Output Constraints

新框架赋能多智能体系统中的安全分布式共识

研究人员开发了一种在多智能体系统中实现安全分布式共识的新方法。该方法解决了由非对称执行器约束和时变输出安全要求带来的挑战。通过采用障碍坐标变换和分布式同步律,该系统确保了智能体输入保持在可接受的范围内,输出保持在安全区间内。 AI

排序理由 该集群包含一篇详细介绍多智能体系统新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.MA (Multiagent) 阅读 →

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新框架赋能多智能体系统中的安全分布式共识

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该集群包含一篇详细介绍多智能体系统新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Shashi Ranjan Kumar ·

    分布式安全共识在不对称输入和时变输出约束下

    This paper studies safe distributed consensus for single-integrator multi-agent systems over connected undirected graphs under simultaneous asymmetric actuator constraints and output safety constraints. Each agent is equipped with a continuously differentiable asymmetric actuator…