Derivative Free Data-Driven Stabilization of Continuous-Time Linear Systems From Input-Output Data
Abstract
This letter presents a data-driven framework for the design of stabilizing controllers from input-output data in the continuous-time, linear, and time-invariant domain. Rather than relying on measurements or reliable estimates of input and output time derivatives, the proposed approach uses filters to derive a parameterization of the system dynamics. This parameterization is amenable to the application of linear matrix inequalities enabling the design of stabilizing output feedback controllers from input-output data and the knowledge of the order of the system.
Fields of Study & Subjects
Control Systems and Identification
Model Reduction and Neural Networks
Stability and Control of Uncertain Systems
Publication details
- Journal / source
- IEEE Control Systems Letters
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 10
- Pages
- 67–72
- Publication date
- 1 January 2026
- Language
- EN