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PRODID:-//Memento EPFL//
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SUMMARY:Sequential convex programming approach for nonlinear optimization 
 and two applications in control
DTSTART:20131206T101500
DTSTAMP:20260407T034522Z
UID:361dddd3c6a71c235dce34e419be2f9dd528498643dcafbd9a17a582
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Quoc Tran Dinh\nBio: - 2001: Bsc  in Applied Mathematics 
 and Informatics\, Vietnam National University\, Hanoi\, Vietnam.\n- 2003: 
 Msc in Computer Science\, Vietnam National University\, Hanoi\, Vietnam.\n
 - 2009-2012: PhD in Electrical Engineering\, Department of Electrical Engi
 neering and Optimization in Engineering Center (OPTEC)\, KU Leuven\, Belgi
 um.\n- 11/2012-present: Postdoc researcher at Laboratory for Information a
 nd Inference Systems\, EPFL\, Lausanne\, Switzerland.\nIn this talk\, we s
 tudy an optimization method for solving some classes of nonlinear optimiza
 tion problems\, which we call “sequential convex programming” (SCP). S
 imilar to the well-known method called “sequential quadratic programming
  (SQP)”\, our method is an iterative scheme such that\, at each iteratio
 n\, it convexifies the original problem to obtain a convex subproblem and 
 makes use of convex optimization techniques.\nWe first present a general a
 lgorithmic framework with local convergence guarantee (to a stationary poi
 nt of the original problem). Then\, we specify this framework to some spec
 ial classes of nonlinear optimization problems. Finally\, we show two appl
 ications of our method in control. The first application is to track the s
 olution trajectory in nonlinear model predictive control. The second one i
 s to design feedback laws in static output feedback control.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
 ecenter_x=730960.62257&layerNodes=fonds\,batiments\,labels\,information\,p
 arkings_publics\,arrets_metro&floor=2&q=me_c2%20405
STATUS:CONFIRMED
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