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English(EN) Provably Safe Decentralized Contingency MPC under State-Only Information and Limited Sensing for Nonlinear Multi-agent Systems

新的去中心化MPC框架确保多智能体系统的安全性

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新的去中心化模型预测控制（MPC）框架，用于在状态信息和有限感知下运行的多智能体系统。该方法通过利用各智能体的后备区域，确保了递归可行性、安全性和Lyapunov型收敛性。即使在有限的感知范围内，该系统也允许更少保守的去中心化交互和无记忆的局部邻居处理，同时保留了应急MPC的核心结构。 AI

影响 这项研究可能有助于在复杂的多智能体环境中实现更强大、更安全的自主运行系统。

排序理由 该集群包含一篇详细介绍多智能体系统新控制框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的去中心化MPC框架确保多智能体系统的安全性

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该集群包含一篇详细介绍多智能体系统新控制框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Georg Schildbach ·

    非线性多智能体系统在仅状态信息和有限传感下的可证明安全的去中心化应急MPC

    This paper considers decentralized contingency MPC for multi-agent control under a state-only information pattern, with particular focus on limited sensing and plug-and-play operation. The objective is to retain recursive feasibility, safety, and Lyapunov-type convergence while r…

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