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Polynomial-time probabilistic observability analysis of sampled-data piecewise affine systems

机译:采样数据分段仿射系统的多项式时间概率可观性分析

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This paper proposes a polynomial-time probabilistic approach to solve the observability problem of sampled-data piecewise affine systems. First, an algebraic characterization for the system to be observable is derived. Next, based on the characterization, we propose a randomized algorithm that can determine if the system is observable in a probabilistic sense or the system is not observable in a detemimistic sense. Finally, it is shown with some examples, for which it is hopeless to check the observability in a deterministic way, that the proposed algorithm is very useful. (c) 2007 Elsevier B.V. All rights reserved.
机译:本文提出了一种多项式时间概率方法来解决采样数据分段仿射系统的可观察性问题。首先,导出系统可观测的代数表征。接下来,基于特征,我们提出了一种随机算法,可以确定系统在概率意义上是可观察的,还是在确定论意义上是不可观察的。最后,通过一些示例显示了这些示例,对于以确定性方式检查可观察性毫无希望,该算法非常有用。 (c)2007 Elsevier B.V.保留所有权利。

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