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Multi-Model Unfalsified Adaptive Switching Supervisory Control

Dr. Simone Baldi
Università degli Studi di Firenze (University of Florence)
Abstract:
In recent years, adaptive switching supervisory control (ASSC) has emerged as an alternative to conventional
continuous adaptation for dealing with control of uncertain plants. The proposed approach consists of
embedding, in the so-called unfalsified adaptive switching supervisory control (UASSC) schemes, a family of
nominal models pairwise associated with the given candidate controllers, and allow to deal with the problem of
inferring on-line stability of a potential control-loop consisting of an uncertain plant interconnected in feedback
with a candidate controller, using plant I/O pairs recorded while the plant is possibly driven by a different
controller.
The result is that the supervised switching mechanism can moderate the chance that destabilizing controllers be
switched-on and, hence, reduce both the magnitude and time durations of "learning" transients after start-up,
while, in contrast with pre-existing multi-model based methods, stability in-the-large is guaranteed under the
minimal conceivable assumption that a stabilizing candidate controller exist.
Bio:
Simone Baldi received the B.S. degree in Electronics Engineering in 2005 and the M.S. degree in Automatic
Systems Control Engineering in 2007, both from the University of Florence. Thereafter, he has been with the
Dipartimento di Sistemi e Informatica, University of Florence, where he is currently a Ph.D. student. His
research interests are in

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Shane Goodoff