Pith. sign in

REVIEW 2 cited by

Interconnection of (Q,S,R)-Dissipative Systems in Discrete Time

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2311.08088 v3 pith:XJL4VVXB submitted 2023-11-14 math.OC cs.SYeess.SY

classification math.OCcs.SYeess.SY
keywords systemsdiscretetimeconditionscontroldissipativedissipativitylinear
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Discrete-time systems cannot be passive unless there is a direct feedthrough from the input to the output. For passivity-based control to be exploited nevertheless, some authors introduce virtual outputs, while others rely on continuous-time passivity and then apply discretization techniques that preserve passivity in discrete time. Here we argue that quadratic supply rates incorporate and extend the effect of virtual outputs, allowing one to exploit dissipativity properties directly in discrete time. We derive decentralized (Q,S,R)-dissipativity conditions for a set of nonlinear systems interconnected with arbitrary topology, so that the overall network is guaranteed to be stable. For linear systems, we develop dissipative control conditions that are linear in the supply rate matrices. To demonstrate the validity of our methods, we provide numerical examples in the context of islanded microgrids.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems

    eess.SY 2025-09 conditional novelty 6.0 of 10

    Data-driven decentralized control of interconnected discrete-time LTI systems is achieved by synthesizing local dissipative controllers and certifying global stability with LMIs from local data and noise bounds.

  2. Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach

    eess.SY 2024-11 reject novelty 5.0 of 10

    A pH-structured neural controller is proven to have a finite L2 gain for all parameters, but the claimed finite incremental L2 gain is not proven and fails in simple cases.

Pith tools