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arXiv 1805.06271eess.SYcs.SY
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基于小增益方法的系统网络有限抽象的组合合成

Compositional Synthesis of Finite Abstractions for Networks of Systems: A Small-Gain Approach

Technical University of Munich(慕尼黑工业大学);University of Colorado Boulder(科罗拉多大学博尔德分校);Ludwig Maximilian University of Munich(慕尼黑大学)

Abdalla Swikir, Majid Zamani

AI总结:

本文提出了一种基于小增益原理的组合方法,用于构建互联离散时间控制系统网络的有限抽象(符号模型)。通过交替模拟函数关系,该方法在满足小增益条件时,能够组合性地构建整体交替模拟函数,从而实现对系统网络的符号模型和原系统之间的关系建模。最后,本文将该方法应用于圆形容器温度调节问题,并展示了其在非线性全连接网络中的有效性。

摘要:

在本文中,我们介绍了一种用于构建互联离散时间控制系统网络有限抽象(也称为符号模型)的组合方案。该组合方案基于小增益类型推理。具体而言,我们使用所谓的交替模拟函数作为每个子系统与其符号模型之间的关系。假设某些小增益类型条件,我们能够组合性地构建整体交替模拟函数,作为符号模型互联与原控制系统子系统的互联之间的关系。在这样的组合推理中,子系统的交替模拟函数的增益满足某种“小增益”条件。此外,我们还引入了一种技术,用于在某些稳定性性质下构建离散时间控制子系统的符号模型及其对应的交替模拟函数。最后,我们将我们的结果应用于圆形容器的温度调节问题,通过组合性地构建包含N个房间的网络的有限抽象(对于任何N≥3),我们使用所构建的符号模型作为替代品,以组合性地合成控制器,维持房间温度在舒适区。我们选择N=1000以展示结果。此外,我们还将所提出的技术应用于一个非线性完全连接网络的非线性示例,在这种情况下,组合性条件对于任何数量的组件仍然成立。在这些案例研究中,我们展示了所提出结果与文献中现有组合性技术(使用耗散性类型推理)的比较有效性。

英文摘要:

In this paper, we introduce a compositional scheme for the construction of finite abstractions (a.k.a. symbolic models) of interconnected discrete-time control systems. The compositional scheme is based on small-gain type reasoning. In particular, we use a notion of so-called alternating simulation functions as a relation between each subsystem and its symbolic model. Assuming some small-gain type conditions, we construct compositionally an overall alternating simulation function as a relation between an interconnection of symbolic models and that of original control subsystems. In such compositionality reasoning, the gains associated with the alternating simulation functions of the subsystems satisfy a certain "small-gain" condition. In addition, we introduce a technique to construct symbolic models together with their corresponding alternating simulation functions for discrete-time control subsystems under some stability property. Finally, we apply our results to the temperature regulation in a circular building by constructing compositionally a finite abstraction of a network containing $N$ rooms for any $N\geq3$. We use the constructed symbolic models as substitutes to synthesize controllers compositionally maintaining room temperatures in a comfort zone. We choose $N=1000$ for the sake of illustrating the results. We also apply our proposed techniques to a nonlinear example of fully connected network in which the compositionality condition still holds for any number of components. In these case studies, we show the effectiveness of the proposed results in comparison with the existing compositionality technique in the literature using a dissipativity-type reasoning.

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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