Scholarlink

In this paper, based on the design of intermediate observer, the distributed fault estimation problem of the system under a Markov random switching topology is studied. The topology switching process is controlled by a Markovian stochastic process whose state corresponds to the topology of possible interactions between agents. Applied the output measurement information and the state estimation of adjacent agents, we design distributed intermediate estimator for every agent to estimate the combined signal composed of system state and fault. Then proof the global estimation error system and the combined signal are bounded in probability. Lastly, the effective technicality of the proposed methodology is evidenced by the results of an example.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Distributed Fault Estimation for Multi-agent Systems Under a Random Switching Topology

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Chunlei Zhang,
  • Xin Wang,
  • Xiaona Yang,
  • Xian Zhang

摘要

In this paper, based on the design of intermediate observer, the distributed fault estimation problem of the system under a Markov random switching topology is studied. The topology switching process is controlled by a Markovian stochastic process whose state corresponds to the topology of possible interactions between agents. Applied the output measurement information and the state estimation of adjacent agents, we design distributed intermediate estimator for every agent to estimate the combined signal composed of system state and fault. Then proof the global estimation error system and the combined signal are bounded in probability. Lastly, the effective technicality of the proposed methodology is evidenced by the results of an example.