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SUMMARY:A. Pedro Aguiar (Faculdade de Engenharia\, Universidade do Porto)
DTSTART:20210303T180000Z
DTEND:20210303T190000Z
DTSTAMP:20260423T003240Z
UID:MPML/31
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/31/">Mo
 del based control design combining Lyapunov and optimization tools: Exampl
 es in the area of motion control of autonomous robotic vehicles</a>\nby A.
  Pedro Aguiar (Faculdade de Engenharia\, Universidade do Porto) as part of
  Mathematics\, Physics and Machine Learning (IST\, Lisbon)\n\n\nAbstract\n
 The past few decades have witnessed a significant research effort in the f
 ield of Lyapunov model based control design. In parallel\, optimal control
  and optimization model based design have also expanded their range of app
 lications\, and nowadays\, receding horizon approaches can be considered a
  mature field for particular classes of control systems.\nIn this talk\, I
  will argue that Lyapunov based techniques play an important role for anal
 ysis of model based optimization methodologies and moreover\, both approac
 hes can be combined for control design resulting in powerful frameworks wi
 th formal guarantees of robustness\, stability\, performance\, and safety.
  Illustrative examples in the area of motion control of autonomous robotic
  vehicles will be presented for Autonomous Underwater Vehicles (AUVs)\, Au
 tonomous Surface Vehicles (ASVs) and Unmanned Aerial Vehicles (UAVs).\n
LOCATION:https://researchseminars.org/talk/MPML/31/
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