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Fundamental characterization for state detectability of logical dynamical systems

机译:逻辑动力系统状态可检测性的基本特征

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The problem of using input and output sequences to determine the current state of logical dynamical systems has applications in many fields such as systems biology, sequential logic circuits, finite-strategic dynamical noncooperative games, and etc., and has been widely investigated during the recent years. There is an algorithm for verifying whether all sufficiently long input sequences determine the corresponding current states that runs in time quadratic polynomial of the number of states, inputs and outputs in the literature. In this paper, under the framework of the semi-tensor product of matrices, we propose a quadratic polynomial time algorithm for verifying a weaker and more widely used state detectability stating that whether there is an input sequence that determines the current state. This algorithm is much more effective than the existing algorithms for verifying the weaker state detectability in the literature, and is also applied to the fault diagnosis problem of oxidative stress response and sequential logic circuits.
机译:使用输入和输出序列确定当前逻辑动力系统状态的问题在许多领域中具有应用,例如系统生物学,顺序逻辑电路,有限战略动态非自由化游戏等,并且在最近的广泛调查年。有一种算法用于验证所有足够长的输入序列是否确定在文献中的状态,输入和输出数量的时间二次多项式中运行的相应电流状态。本文在矩阵的半张量产品的框架下,我们提出了一种二次多项式时间算法,用于验证较弱,更广泛使用的状态可检测性,说明是否存在确定当前状态的输入序列。该算法比现有算法更有效,用于验证文献中的较弱状态可检测性,并且还应用于氧化应力响应和顺序逻辑电路的故障诊断问题。

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