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DTSTART:20261025T030000
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UID:calendar.30782.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260502T094229Z
CREATED:20260429T133233Z
DESCRIPTION:Linear Matrix Inequalities (LMIs) have become a central tool in
  modern systems and control theory thanks to their ability to cast a wide 
 range of analysis and synthesis problems as tractable convex optimization 
 programs. This PhD-level course provides a rigorous introduction to LMIs a
 nd their application to linear time-invariant (LTI) systems\, beginning wi
 th fundamental concepts of LMI feasibility\, Lyapunov stability analysis\,
  and basic controller design. Building on these foundations\, the course t
 hen extends the framework to robust control of systems affected by polytop
 ic uncertainties and to gain-scheduled control design for linear parameter
 -varying (LPV) models. Additionally\, the course will explore how LMIs nat
 urally handle structural variations such as switched dynamics and time-del
 ay systems. The second half of the course focuses on observer design throu
 gh LMIs. Besides classical Luenberger observers\, students learn how to fo
 rmulate and synthesize unknown-input observers for fault detection and iso
 lation\, as well as interval observers capable of providing real-time\, gu
 aranteed state bounds under uncertainty\, disturbance\, and noise assumpti
 ons. The course concludes by examining emerging research directions\, incl
 uding data-driven LMI-based control design and the recently proposed conce
 pt of quadratic repulsiveness\, highlighting new opportunities at the inte
 rsection of optimization\, learning\, estimation\, and feedback control.Ve
 nue: room A2 (Diag)Schedule:June 8    -- 14:00-17:00June 9    -- 14:00-17:
 00June 10  -- 14:00-17:00June 11  -- 14:00-17:00June 16  -- 10:00-13:00Jun
 e 17  -- 10:00-13:00June 18  -- 10:00-12:00 
DTSTART;TZID=Europe/Paris:20260608T140000
DTEND;TZID=Europe/Paris:20260618T120000
LAST-MODIFIED:20260429T135736Z
LOCATION:Aula A2
SUMMARY:2026 ABRO Course on Advances in Automatic Control - Damiano Rotondo
  (University of Stavanger\, Norway)
URL;TYPE=URI:https://www.diag.uniroma1.it/node/30782
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