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CATEGORIES:Seminar/Colloquia
DESCRIPTION:Title: Adaptive Feedforward Compensation of Harmonic Disturbanc
 es for Convergent Nonlinear Systems \n\nAbstract: Rejecting periodic distur
 bances occurring in dynamical systems is a fundamental problem in control t
 heory\, with numerous technological applications such as control of vibrati
 ng structures\, active noise control\, and control of rotating mechanisms. 
 From a theoretical standpoint\, any design philosophy aimed at solving this
  problem reposes upon a specific variant of the internal model principle\, 
 which states that regulation can be achieved only if the controller embeds 
 a copy of the exogenous system generating the periodic disturbance. In the 
 classic internal model control (IMC)\, the plant is augmented with a replic
 a of the exosystem\, and the design is completed by a unit which provides s
 tability of the closed loop. In a somewhat alternative design methodology\,
  referred to as adaptive feedforward compensation (AFC)\, a stabilizing con
 troller for the plant is computed first and then an observer of the exosyst
 em is designed to provide asymptotic cancelation of the disturbance at the 
 plant input. In particular\, the parameters of the feedforward control are 
 computed adaptively by means of pseudo-gradient optimization\, using the re
 gulated error as a regressor. Contrary to IMC\, which has been the focus of
  extensive investigation\, application of AFC methods to nonlinear systems 
 has remained so far elusive. This talk aims at presenting results that set 
 the stage for a theory of AFC for nonlinear systems by providing  a nonline
 ar equivalent of the condition for the solvability of the problem in the li
 near setting\, and by re-interpreting classical linear schemes in a fully n
 onlinear setting. To this end\, the problem is approached by combining meth
 ods from output regulation theory with techniques for semi-global stabiliza
 tion. \n\nBio: Andrea Serrani received the Laurea (B.Eng.) degree in Electr
 ical Engineering\, summa cum laude\, from the University of Ancona\, Italy\
 , in 1993\, and the Ph.D. degree in Artificial Intelligence Systems from th
 e same institution in 1997. From 1994 to 1999\, he was a Fulbright Fellow a
 t Washington University in St. Louis\, MO\, where he obtained the M.S. and 
 D.Sc. degrees in Systems Science and Mathematics in 1996 and 2000\, respect
 ively. Since 2002\, he has been with the Department of Electrical and Compu
 ter Engineering of The Ohio State University\, where he is currently a Prof
 essor and Interim Chair. \n\nHe has held visiting positions at the Universi
 ties of Bologna and Padua\, Italy\, and multiple summer faculty fellowships
  at AFRL. The research activity of Prof. Serrani lies at the intersection o
 f methodological aspects of nonlinear\, adaptive and geometric control theo
 ry with applications in aerospace and marine systems\, fluidic systems\, ro
 botics and automotive engineering. His work has been supported by AFRL\, NS
 F\, Ford Motor Co. and NASA\, among others. Prof. Serrani has authored or c
 o-authored more than 150 articles in journals\, proceedings of internationa
 l conferences and book chapters\, and is the co-author of the book Robust A
 utonomous Guidance: An Internal Model Approach\, published by Springer-Verl
 ag. Prof. Serrani was a Distinguished Lecturer of the IEEE CSS. Prof. Serra
 ni is the Editor-in-Chief of the IEEE Transactions on Control Systems Techn
 ology\, and a past Associate Editor for the same journal (2010-2016)\, Auto
 matica (2008-2014) and the International. Journal of Robust and Nonlinear C
 ontrol} (2006-2014). He serves on the Conference Editorial Boards of IEEE C
 SS and IFAC\, served as Program Chair for the 2019 ACC\, and currently serv
 es as General Co-chair for the 2022 CDC.
DTEND:20211217T170000Z
DTSTAMP:20260306T061047Z
DTSTART:20211217T160000Z
LOCATION:
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SUMMARY:ESE Seminar: Andrea Serrani
UID:tag:localist.com\,2008:EventInstance_38396370518091
URL:https://happenings.washu.edu/event/ese_seminar_andrea_serrani
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