BEGIN:VCALENDAR
PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:560394eef6a16015902706ff59a1fa89
DTSTAMP:20260720T161006Z
SUMMARY:PhD Defense by Johan Lindberg: Robust & Optimal Control of Mass-Spr
 ing Networks — with Power System Applications
DESCRIPTION:Contact: richard.pates@control.lth.se\n\nAll seminars are held 
 at the Department of Automatic Control\, in the seminar room M 3170-73 on 
 the third floor in the M-building\, unless stated otherwise.&nbsp\;Title: 
 Robust &amp\; Optimal Control of Mass-Spring Networks — with Power Syste
 m ApplicationsSpeaker:&nbsp\;Johan LindbergOpponent: Professor Marija D. I
 lić\, Massachusetts Institute of TechnologyCommittee:&nbsp\;Associate Pro
 fessor Andre Teixeira\, Uppsala universitetDr Frank Hellman\, Potsdam lnst
 itute for Climate Impact ResearchUniversitetslektor Ross Drummond\, Univer
 sity of SheffieldSupervisor:&nbsp\; Richard Pates\, Automatic Control Lund
  UniversityAssistant supervisor:&nbsp\;Anders Rantzer\, Automatic Control 
 Lund UniversityWhere: Lecture hall M:A\, LTH building M\, Ole Römers väg
  1Zoom:&nbsp\; Link to zoom meetingWhen:&nbsp\; June 5th\, 09:15AbstractEl
 ectric power systems are undergoing significant transformations as more se
 ctors of society are electrified and increasing amounts of solar and wind 
 power generation are added to the grid. The growing share of renewable gen
 eration is expected to influence the dynamic behaviour of power systems\, 
 creating a need for new control strategies. This thesis investigates robus
 t and optimal control with a focus on performance\, robustness\, and distu
 rbance attenuation. The systems under consideration are damped mass-spring
  systems that capture key aspects of AC frequency dynamics in power system
 s.&nbsp\;The type of control investigated is the so-called H2 and H-infini
 ty optimal control. These are two frameworks for deriving optimal controll
 ers with respect to different objectives. The H2 optimal control framework
  seeks to minimise the energy throughput from external stochastic disturba
 nces to the system's performance output\, while H-infinity optimal control
  instead seeks to minimise the effect of the worst-case disturbance.Papers
  I to III in this thesis focus on deriving analytical results for the smal
 lest achievable disturbance gains in the two norms and provide controllers
  that attain these bounds. Papers III and IV investigate a robustness marg
 in that is closely related to H-infinity control. The main contributions a
 re the analytical nature of the controllers\, disturbance gain expressions
 \, and the robustness margins. These results stand in contrast to conventi
 onal approaches to H2 and H-infinity optimal control\, which typically rel
 y on numerical methods and require recomputation of controllers for each n
 ew problem configuration.All expressions provided in this thesis are highl
 y transparent\, clearly illustrating which system properties most strongly
  influence robustness and disturbance attenuation. The expressions deliver
  direct guidance for controller design. In all papers\, the theoretical re
 sults are applied to power system models that closely resemble damped mass
 -spring networks\, demonstrating the strong applicability of the theory to
  power system control\, particularly for AC frequency control.\n\nMore inf
 ormation about the event: https://www.control.lth.se/calendar/phd-defense-
 johan-lindberg-robust-optimal-control-mass-spring-networks-power-system-ap
 plications
DTSTART;TZID=GMT:20260605T071551
DTEND;TZID=GMT:20260605T101551
LOCATION:Lecture hall M:A\, LTH building M\, Ole Römers väg 1
END:VEVENT
END:VCALENDAR