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In this chapter, the fault estimation issue is addressed for time-varying networked systems influenced by ROUsRandomly Occurring Uncertainties (ROU) and packet dropouts. Two sets of mutually independent random variables are employed to depict the ROUs and packet dropouts. The chief purpose is to develop a novel fault estimation scheme such that, for ROUs and packet dropouts, an optimized upper boundUpper bound in relation to the EEC is obtained and the estimator gain with expression form is derived.

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Joint Fault and State Estimation with Packet Dropouts and Randomly Occurring Uncertainties

  • 章节

  • 发表日期：

    2025年

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  • Jun Hu,
  • Zidong Wang,
  • Chaoqing Jia

摘要

In this chapter, the fault estimation issue is addressed for time-varying networked systems influenced by ROUsRandomly Occurring Uncertainties (ROU) and packet dropouts. Two sets of mutually independent random variables are employed to depict the ROUs and packet dropouts. The chief purpose is to develop a novel fault estimation scheme such that, for ROUs and packet dropouts, an optimized upper boundUpper bound in relation to the EEC is obtained and the estimator gain with expression form is derived.