Online Adversarial Stabilization of Unknown Networked Systems

Author:

Yu Jing1ORCID,Ho Dimitar1ORCID,Wierman Adam1ORCID

Affiliation:

1. California Institute of Technology, Pasadena, CA, USA

Abstract

We investigate the problem of stabilizing an unknown networked linear system under communication constraints and adversarial disturbances. We propose the first provably stabilizing algorithm for the problem. The algorithm uses a distributed version of nested convex body chasing to maintain a consistent estimate of the network dynamics and applies system level synthesis to determine a distributed controller based on this estimated model. Our approach avoids the need for system identification and accommodates a broad class of communication delay while being fully distributed and scaling favorably with the number of subsystems.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Computer Science (miscellaneous)

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1. Online Adversarial Stabilization of Unknown Linear Time-Varying Systems;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Online Adversarial Stabilization of Unknown Networked Systems;ACM SIGMETRICS Performance Evaluation Review;2023-06-26

3. Online Adversarial Stabilization of Unknown Networked Systems;Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems;2023-06-19

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