TY - GEN
T1 - A Generalized Distributed Analysis and Control Synthesis Approach for Networked Systems with Arbitrary Interconnections
AU - Welikala, Shirantha
AU - Lin, Hai
AU - Antsaklis, Panos
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85135757398&partnerID=8YFLogxK
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U2 - 10.1109/MED54222.2022.9837162
DO - 10.1109/MED54222.2022.9837162
M3 - Conference contribution
AN - SCOPUS:85135757398
T3 - 2022 30th Mediterranean Conference on Control and Automation, MED 2022
SP - 803
EP - 808
BT - 2022 30th Mediterranean Conference on Control and Automation, MED 2022
T2 - 30th Mediterranean Conference on Control and Automation, MED 2022
Y2 - 28 June 2022 through 1 July 2022
ER -