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arXiv 1501.06005eess.SYcs.SY
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通过程序逻辑进行采样数据系统的输入合成

Input Synthesis for Sampled Data Systems by Program Logic

The University of Tokyo(东京大学);Kyoto University(京都大学)

Takumi Akazaki, Ichiro Hasuo, Kohei Suenaga

AI总结:

本文研究了通过程序逻辑进行采样数据系统输入合成的问题,采用正向与反向推理减少搜索空间,实验验证了方法的有效性。

摘要:

受具体工业问题启发,本文考虑了混合系统的输入合成问题:给定一个受外部输入(也称为扰动或噪声)影响的混合系统,寻找一个输入序列以将系统引导至预期后件。本文聚焦于采样数据系统——即数字控制器以周期性方式中断物理设备的系统,这是控制理论中常见的类别,并进一步假设控制器以命令式程序形式给出。我们开发了一种基于程序逻辑的结构化输入合成方法,通过程序逻辑的正向和反向推理来减少搜索空间。尽管我们覆盖的例子在规模和结构上都有限,但原型实现的实验表明了我们基于程序逻辑的方法的潜力。

英文摘要:

Inspired by a concrete industry problem we consider the input synthesis problem for hybrid systems: given a hybrid system that is subject to input from outside (also called disturbance or noise), find an input sequence that steers the system to the desired postcondition. In this paper we focus on sampled data systems--systems in which a digital controller interrupts a physical plant in a periodic manner, a class commonly known in control theory--and furthermore assume that a controller is given in the form of an imperative program. We develop a structural approach to input synthesis that features forward and backward reasoning in program logic for the purpose of reducing a search space. Although the examples we cover are limited both in size and in structure, experiments with a prototype implementation suggest potential of our program logic based approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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