余兰林Lanlin Yu

副研究员

副研究员 硕士生导师

入职时间:2021-11-02

所在单位:自动化系

职务:Associate Professor

学历:研究生(博士后)

在职信息:在职

论文成果

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[7] A Lyapunov analysis of the continuous-time adaptive Bellman–Ford algorithm.

发布时间:2023-03-24 点击次数:

发表刊物:Systems & Control Letters
摘要:The shortest path problem, one of the most classical graph problems, has been addressed in many different ways suitable for various settings in the fields of computer science and artificial intelligence. In this paper, we revisit a distributed control solution, namely the continuous-time adaptive Bellman–Ford algorithm, to the shortest path problem. While previous work only concerned its global asymptotic stability, we not only prove its global asymptotic stability by formulating a Lyapunov function, but characterize the initial conditions under which the algorithm will converge exponentially, and show that the algorithm is globally ultimately bounded under persistent bounded perturbations based on the proposed Lyapunov function.
第一作者:莫远秋
论文类型:期刊论文
通讯作者:余兰林
是否译文:
发表时间:2021-10-13
收录刊物:SCI