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Derivative Free Data-Driven Stabilization of Continuous-Time Linear Systems From Input-Output Data
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DOI:10.1109/LCSYS.2026.3658297.png)
Abstract
En 中文
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.
Keywords:
Filters
Output feedback
Linear systems
Polynomials
Time measurement
Vectors
Three-dimensional displays
Symmetric matrices
Reliability
Observability
Data-driven control
linear systems
LMI
Journal
I
IF:
2
Papers:
94
Citations:
5.0K
