首页> 外文会议>Innovative Computing, Information and Control (ICICIC-2009), 2009 >Parity Space-Based Fault Detection for Linear Time-Varying Systems with Multiple Packet Dropouts
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Parity Space-Based Fault Detection for Linear Time-Varying Systems with Multiple Packet Dropouts

机译:具有多个数据包丢失的线性时变系统的奇偶校验基于空间的故障检测

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This paper deals with the problem of robust fault detection for a class of linear discrete time-varying (LDTV) systems subject to multiple packet dropouts. Under the assumption of data packets being time-stamped, the system under consideration can be described by an augmented LDTV systems without packet dropouts and, based on this, a parity space approach to fault detection of linear time invariant systems is extended to handle the problem of fault detection of the LDTV systems. Recursive algorithms are provided to reduce the computations of parameter matrices. A numerical example is given to show the effectiveness of the proposed method.
机译:本文针对一类具有多个数据包丢失的线性离散时变(LDTV)系统,提出了鲁棒的故障检测问题。在假设数据包带有时间戳的情况下,可以通过没有包丢失的增强型LDTV系统来描述所考虑的系统,并在此基础上扩展了用于线性时不变系统故障检测的奇偶校验空间方法来解决该问题。 LDTV系统的故障检测。提供了递归算法以减少参数矩阵的计算。数值算例表明了该方法的有效性。

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