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Observability of Linear Hybrid Systems with unknown inputs and discrete dynamics modeled by Petri nets.

机译:由Petri网建模的具有未知输入和离散动力学的线性混合系统的可观测性。

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This work deals with the observability analysis forLHS’sconsidering both known and unknown inputs and constrained discrete dynamics, modeled by Petri nets. For this, the concept ofeventual observabilityis recalled as the possibility of uniquely determining both the discrete and the continuous states after a finite number of switchings. In this way, the information provided by the continuous and the discrete outputs of theLHScan be combined to determine the discrete state after a finite number of switchings. Next, based on the knowledge of the visited locations, a continuous observer can estimate the continuous state. It is shown that under this approach the observability conditions are greatly relaxed with respect to other approaches in the literature, in particular, neither the observability of the linear systems nor the observability of the underlying discrete event system are required.
机译:这项工作涉及LHS的可观察性分析,其中考虑了Petri网建模的已知和未知输入以及受约束的离散动态。为此,将最终可观察性的概念召回为在有限次数的切换之后唯一确定离散状态和连续状态的可能性。这样,由LHScan的连续和离散输出提供的信息将组合起来,以在有限次切换之后确定离散状态。接下来,基于对拜访位置的了解,连续观察者可以估计连续状态。结果表明,在这种方法下,相对于文献中的其他方法,可观察性条件得到了极大的放松,特别是线性系统的可观察性和底层离散事件系统的可观察性都不需要。

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