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DETECTION OF CHANGES BY OBSERVER IN TIMED EVENT GRAPHS AND TIME STREAM EVENT GRAPHS

机译:检测定时事件图中观察者的变化和时间流事件图

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摘要

A state-based approach for detection of changes in systems modelled as Timed Event Graph and Time Stream Event Graph is presented. We assume that the net in its nominal behavior is known and transitions are partitioned as observable and unobservable transitions. Considered faults are (possibly small) variations of dynamical models by respect to this nominal behavior. Using the algebra of dioids, the approach follows the same principle as the observers used in continuous systems.
机译:呈现了一种用于检测为定时事件图和时间流事件图建模的系统的变化的状态方法。我们假设在其标称行为中的网络是已知的,并且转换被划分为可观察和不可观察的转换。考虑故障是(可能小的)通过尊重该名义行为的动态模型的变化。使用Dioids的代数,该方法遵循与连续系统中使用的观察者相同的原理。

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