Data-driven controller tuning with integrated stability constraint

This paper presents a data-driven controller-tuning algorithm that includes a sufficient condition for closed-loop stability. This stability condition is defined by a set of convex constraints on the Fourier transform of specific auto- and cross-correlation functions. The constraints are included in a correlation-based controller-tuning method that solves a model-reference problem. This entirely data-driven method requires a single experiment and can also be applied to nonminimum-phase and unstable systems. The resulting controller is guaranteed to stabilize the plant as the data length tends to infinity. The performance with finite data length is illustrated through a simulation example.


Published in:
47th IEEE Conference on Decision and Control, 2612-2617
Presented at:
47th IEEE Conference on Decision and Control, Cancun, Mexico, December 9-11 2008
Year:
2008
Publisher:
IEEE
Keywords:
Laboratories:


Note: The status of this file is: EPFL only


 Record created 2008-09-01, last modified 2018-10-07

n/a:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)