Dr. Domenico Famularo

This seminar explores the stabilization problem in constrained control systems where plant measurements and command signals are transmitted through communication channels with time-varying delays and data losses. We introduce a novel receding horizon strategy exploiting an uncertain polytopic linear plant model. This method employs sequences of pre-computed inner approximations of one-step controllable sets as online target sets for command selection in a receding horizon fashion. The strategy accounts for communication channel effects using both Independent-of-Delay (IoD) and Delay-Dependent (DD) stability concepts to initialize the one-step controllable sequences. The proposed framework ensures Uniformly Ultimate Boundedness (UUB) and adherence to constraints for the regulated trajectory, despite plant uncertainties and data losses. For beginners, basic notions regarding set-theoretic robust Model Predictive Control are introduced.

Biography:

Dr. Domenico Famularo received the laurea degree in computer engineering from the University of Calabria, Italy, in 1991 and the Ph.D in computational mechanics from the University of Rome, Italy, in 1996. From 1991 to 2000 he was a Research Associate at the University of Calabria. In 1997 he was a visiting Scholar Research at the University of New Mexico (USA) and in 1999 he covered the same position at the University of Southern California (USA). He was a Researcher at ICAR-CNR and since 2005 he is an Associate Professor at the University of Calabria. His current research interests include control under constraints, control reconfiguration for fault tolerant systems and networked control systems.

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