A Decentralized Analysis and Control Synthesis Approach for Networked Systems with Arbitrary Interconnections

TL;DR

This paper introduces a generalized decentralized approach for analyzing and controlling large-scale networked systems with arbitrary interconnections, reducing information sharing and enabling resilient, scalable system management.

Contribution

It develops a more generalized decentralized analysis and control synthesis framework that minimizes information sharing and handles subsystem additions/removals efficiently.

Findings

Decentralized processes reduce inter-subsystem communication.

Only neighboring subsystems' information sharing suffices in some topologies.

The approach is resilient to subsystem removals and adaptable to various properties.

Abstract

This paper considers the problem of decentralized 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 decentralized manner at the subsystem level with minimal information sharing among the subsystems. Compared to our most recent work on the same topic, we consider a substantially more generalized problem setup in this paper and develop decentralized processes to verify and ensure a broader range of networked system properties. We show that for such decentralized processes: optimizing the used subsystem indexing scheme can substantially reduce the required inter-subsystem information-sharing sessions, and in some network topologies, information sharing among only neighboring subsystems is sufficient (distributed!). Moreover, the proposed networked system analysis and control synthesis processes are compositional/resilient to subsystem removals, which enable them to conveniently and efficiently handle situations where new subsystems are being added/removed to/from an existing network. We also provide significant insights into our decentralized approach so that it can be quickly adopted to verify and ensure properties beyond the stability and dissipativity of networked systems. Towards developing such decentralized techniques, we have also derived new centralized solutions for dissipative observer and dynamic output feedback controller design problems. Subsequently, we also specialize all the derived results for discrete-time networked systems. We conclude this paper by providing several simulation results demonstrating the proposed novel decentralized analysis and control synthesis processes and dissipativity-based results.