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Experimental validation of a continuous-time MCSI algorithm with bounded adaptive gains

Author
Montanaro, U.; Costa-Castelló, R.; Olm, Josep M.; Larco, C.
Type of activity
Journal article
Journal
Journal of the Franklin Institute
Date of publication
2019-08-01
Volume
356
Number
12
First page
5881
Last page
5897
DOI
10.1016/j.jfranklin.2019.03.012
Repository
http://hdl.handle.net/2117/171825 Open in new window
URL
https://www.sciencedirect.com/science/article/abs/pii/S0016003219302492 Open in new window
Abstract
Model reference adaptive control algorithms with minimal controller synthesis have proven to be an effective solution to tame the behaviour of linear systems subject to unknown or time-varying parameters, unmodelled dynamics and disturbances. However, a major drawback of the technique is that the adaptive control gains might exhibit an unbounded behaviour when facing bounded disturbances. Recently, a minimal controller synthesis algorithm with an integral part and either parameter projection or ...
Citation
Montanaro, U. [et al.]. Experimental validation of a continuous-time MCSI algorithm with bounded adaptive gains. "Journal of the Franklin Institute", 1 Agost 2019, vol. 356, núm. 12, p. 5881-5897.
Group of research
ACES - Advanced Control of Energy Systems
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants