Pith. sign in

REVIEW

Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints

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 1711.07248 v1 pith:NTIDUF3V submitted 2017-11-20 eess.SY cs.SYmath.OC

classification eess.SYcs.SYmath.OC
keywords analysisconditionsrobustnesssystemapproachboundsconstraintsdifferential
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The goal of this paper is to assess the robustness of an uncertain linear time-varying (LTV) system on a finite time horizon. The uncertain system is modeled as a connection of a known LTV system and a perturbation. The input/output behavior of the perturbation is described by time-domain, integral quadratic constraints (IQCs). Typical notions of robustness, e.g. nominal stability and gain/phase margins, can be insufficient for finite-horizon analysis. Instead, this paper focuses on robust induced gains and bounds on the reachable set of states. Sufficient conditions to compute robust performance bounds are formulated using dissipation inequalities and IQCs. The analysis conditions are provided in two equivalent forms as Riccati differential equations and differential linear matrix inequalities. A computational approach is provided that leverages both forms of the analysis conditions. The approach is demonstrated with two examples

Discussion (0). Continue with ORCID to comment.

Pith tools