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SUMMARY:Solve dynamic optimization problems when collocation fails
DTSTART:20220617T100000
DTEND:20220617T110000
DTSTAMP:20260407T212102Z
UID:5f244314c2abb57f17471fd345ec12cbc7ec1e0b79515cece071f9df
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Eric Kerrigan\nMany optimal control\, estimation and design
  problems can be formulated as so-called dynamic optimization problems\, w
 hich are optimization problems with differential equations and other const
 raints. State-of-the-art methods based on collocation\, which enforce the 
 differential equations at only a finite set of points\, can struggle to so
 lve certain dynamic optimization problems\, such as those with high-index 
 differential algebraic equations\, consistently overdetermined constraints
  or problems with so-called singular arcs. We show how numerical methods b
 ased on integrating the differential equation residuals can be used to sol
 ve dynamic optimization problems where collocation methods fail.\n\nBiogra
 phy\n\nDr Eric Kerrigan is a Professor in Control Engineering and Optimiza
 tion at Imperial College London\, where he has a joint appointment in the 
 Department of Electrical and Electronic Engineering as well as the Departm
 ent of Aeronautics. His research is on efficient numerical methods and com
 puter architectures for solving optimization\, control and estimation prob
 lems in real-time\, with applications in aerospace\, renewable energy and 
 computing systems. He is Chair of the United Kingdom Automatic Control Cou
 ncil and on the editorial boards of the IEEE Transactions on Control Syste
 ms Technology\, Control Engineering Practice and IEEE Control Systems Soci
 ety Conferences.
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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