过程诊断问题中Zakai方程的解

K. Loparo, Z. Roth
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引用次数: 0

摘要

将故障检测与诊断建模为具有跳变参数的线性系统的非线性滤波问题。假设故障按照平稳有限状态马尔可夫过程发生,最优滤波器用向量Zakai方程表示。该方程可以通过揭示几种次优过滤方案的实现和物理意义的方式显式求解。
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On the solution of the Zakai equation for the process diagnostics problem
Fault detection and diagnosis is modelled as the nonlinear filtering problem of a linear systems with jumping parameters. Assuming that faults occur according to a stationary finite state Markov process, the optimal filter is represented in terms of a vector Zakai equation. This equation can be solved explicitly in a manner that reveals both the realization as well as the physical meaning of several suboptimal filtering schemes.
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