Localization of Control Synthesis Problem for Large-Scale Interconnected System Using IQC and Dissipativity Theories
Olugbenga Moses Anubi, Layne Clemen

TL;DR
This paper presents a unified approach using IQC and dissipativity theories to localize control synthesis problems in large-scale interconnected systems, enabling decentralized control and performance certification.
Contribution
It introduces a novel localization concept that reduces global synthesis problems into smaller, manageable local problems for large-scale systems.
Findings
Localization simplifies control synthesis for large systems.
The approach enables decentralized control design.
It provides a feasible certification method for system performance.
Abstract
The synthesis problem for the compositional performance certification of interconnected systems is considered. A fairly unified description of control synthesis problem is given using integral quadratic constraints (IQC) and dissipativity. Starting with a given large-scale interconnected system and a global performance objective, an optimization problem is formulated to search for admissible dissipativity properties of each subsystems. Local control laws are then synthesized to certify the relevant dissipativity properties. Moreover, the term localization is introduced to describe a finite collection of syntheses problems, for the local subsystems, which are a feasibility certificate for the global synthesis problem. Consequently, the problem of localizing the global problem to a smaller collection of disjointed sets of subsystems, called groups, is considered. This works looks…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Control of Uncertain Systems · Control and Stability of Dynamical Systems · Advanced Control Systems Optimization
