REVIEW 1 cited by
Setpoint control of bilinear systems from noisy data
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
Signed reviews
read the original abstract
We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should achieve regulation to a given state setpoint and provide a guaranteed basin of attraction. Determining the equilibrium input to achieve that setpoint is not trivial in a data-based setting and we propose the design of a controller in two scenarios. The design takes the form of linear matrix inequalities and is validated numerically for a Cuk converter.
Forward citations
Cited by 1 Pith paper
-
Data-driven nonlinear output regulation via data-enforced incremental passivity
A data-dependent LMI feasibility problem synthesizes a feedback regulator that, together with an exosystem-based internal model, achieves asymptotic reference tracking and disturbance rejection for nonlinear systems w...
Discussion (0). Continue with ORCID to comment.