BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Set-Based Computing Methods in Learning and Control
DTSTART:20230802T110000
DTEND:20230802T120000
DTSTAMP:20260407T111048Z
UID:b4a102673fdf07028e70decdba797852b4313ed92611e8bc2c127524
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Boris Houska (ShanghaiTech University\, China)\nAbstra
 ct:\nSet-based computing methods are the foundation of validated arithmeti
 cs\, reliable computing\, uncertainty propagation\, computational configur
 ation analysis\, optimization of control invariant sets\, robust control\,
  hybrid system analysis\, safe learning and dual control\, multi-objective
  optimization\, ambiguity analysis\, and many others. Therefore\, the firs
 t part of this talk is about recent breakthroughs in the field of set-base
 d computing. In detail\, we focus on a novel class of configuration-constr
 ained polytopes that admit a joint affine parameterization of their vertic
 es and facets. This parameterization can be used to optimize the location 
 and geometric shapes of potentially high dimensional polytopes with millio
 ns of facets and vertices by relying on a large-scale linear program (LP) 
 solver. And the second part of this talk discusses applications of such co
 nfiguration-constrained polytopes in the context of robust model predictiv
 e control\, set-theoretic dissipativity theory\, information-theoretic saf
 e learning\, as well as polytopic dual control. The talk concludes with a 
 general assessment of the state of the art in set-based computing and high
 lights important avenues for future research.\n \nBio:\nBoris Houska is
  an associate professor at the School of Information Science and Technolog
 y at ShanghaiTech University. His research interests include numerical opt
 imization and optimal control\, robust and global optimization\, as well a
 s fast model predictive control algorithms.\nBoris Houska received a dip
 loma in mathematics and physics from the University of Heidelberg in 2007\
 , and a Ph.D. in Electrical Engineering from KU Leuven in 2011. From 2012 
 to 2013 he was a postdoctoral researcher at the Centre for Process Systems
  Engineering at Imperial College London. Subsequently\, from 2013-14\, he 
 has worked as a research faculty member at Shanghai Jiao Tong University. 
 Moreover\, he has held visiting professor positions at the Freiburg Instit
 ute for Advanced Studies as well as at the Institute for Microsystems Engi
 neering at the University of Freiburg (both in 2014) and various shorter a
 cademic visiting appointments\, e.g.\, at UC Berkeley during Winter 2017 a
 nd Imperial College London during Summer 2018.\nBoris Houska has been re
 cipient of awards including ICCOPT Best Paper Prize for a Young Researcher
  in Continuous Optimization (Finalist\, Top 3)\, a Marie-Curie Fellowship 
 for the project Next Generation Algorithms for Robust and Global Optimizat
 ion of Dynamic Systems\, as well as an ShanghaiTech Excellent Professor Aw
 ard from ShanghaiTech University. His paper on “ACADO Toolkit — An
  open source framework for automatic control and dynamic optimization” h
 as been listed as highly cited paper by Web of Science.\n\nSelected Refere
 nces: \n• M.E. Villanueva\, M.A. Müller\, B. Houska. Configuration-Con
 strained Tube MPC.\nAutomatica\, 2023. (provision. accepted\, https://arx
 iv.org/abs/2208.12554)\n\n• B. Houska\, M.E. Villanueva. Robust optimiz
 ation for MPC. Handbook of MPC\,\npages 423–454\, Springer\, 2019\n\n•
  M.E. Villanueva\, E. De Lazzari\, M.A. Müller\, B. Houska. A set-theore
 tic\ngeneralization of dissipativity with applications in Tube MPC. Automa
 tica\, 2020\n• F. Wu\, M.E. Villanueva\, B. Houska. Ambiguity Tube MPC.
  Automatica\, 2022
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR