任意互连网络系统的广义分布式分析与控制综合方法

Shirantha Welikala, Hai Lin, P. Antsaklis
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引用次数: 5

摘要

我们考虑分布式分析和控制综合问题,以验证和确保由任意拓扑互连的线性子系统组成的大规模网络系统的稳定性和耗散性等特性。特别是,我们设计了系统化的网络系统分析和控制综合过程,可以在子系统级别以分布式方式执行,子系统之间的信息共享最小。与文献中最近的工作相比,我们考虑了实质上更一般化的问题设置,并开发了分布式过程来验证和确保更广泛的属性。研究表明,优化分布式过程中使用的子系统索引方案可以大大减少子系统之间所需的信息共享会话。我们还证明了在某些网络拓扑中,相邻子系统之间的信息共享足以满足所提出的分布式过程。此外,所建议的分布式流程是组合的,因此允许它们方便有效地处理将新子系统添加到现有网络中的情况。我们还提供了对我们的方法的重要见解,以便可以快速采用它来验证和确保网络系统的稳定性和耗散性之外的特性。最后,我们提供了一个数值示例来演示所提出的分布式流程并突出我们的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Generalized Distributed Analysis and Control Synthesis Approach for Networked Systems with Arbitrary Interconnections
We consider the problem of distributed analysis and control synthesis to verify and ensure properties like stability and dissipativity of a large-scale networked system comprised of linear subsystems interconnected in an arbitrary topology. In particular, we design systematic networked system analysis and control synthesis processes that can be executed in a distributed manner at the subsystem level with minimal information sharing among the subsystems. Compared to recent work in the literature, we consider a substantially more generalized problem setup and develop distributed processes to verify and ensure a broader range of properties. We show that optimizing subsystems’ indexing scheme used in such distributed processes can substantially reduce the required information-sharing sessions between subsystems. We also show that sharing information among the neighboring subsystems is sufficient for the proposed distributed processes in some network topologies. Moreover, the proposed distributed processes are compositional and thus allow them to conveniently and efficiently handle situations where new subsystems are being added to an existing network. We also provide significant insights into our approach so that it can be quickly adopted to verify and ensure properties beyond the stability and dissipativity of networked systems. Finally, we provide a numerical example to demonstrate the proposed distributed processes and highlight our contributions.
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