E.Köse; Robust Estimation via Convex Optimization , Jan.9, 13:40,G035
  • FENS
  • E.Köse; Robust Estimation via Convex Optimization , Jan.9, 13:40,G035

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Faculty of Engineering and Natural Sciences
FENS ME 551 SEMINARS

 

Robust Estimation via Convex Optimization

Emre Köse

Abstract: Model-based estimation has innumerable real-life applications ranging from spacecraft dynamics to stock market behavior. Although the fundamental theory is well established, the issue of robustness against model uncertainties has only recently been investigated in a systematic manner. In this talk, I will first try to introduce the basics of
uncertainty interconnections in dynamic systems and uncertainty descriptions using "integral quadratic constraints". Next, I will discuss my research in the solution of the robust estimation problem using convex optimization. I will conclude the talk with an application to automotive control systems and some structurally similar problems in control theory.

 

Bio: Emre Köse, BS: 1992 METU  Mechanical Eng., MS: 1994 University of California, Irvine,    Dept. of Mechanical and Aerospace Eng. PhD: 1997 University of California, Irvine, Dept. of Mechanical and Aerospace Eng. 1998-present: Bogazici Univ. Dept. of Mechanical Eng.   (Associate Prof. since 2004).

Research interests: Theory of robust control design with emphasis on gain-scheduling. Applications to automotive control systems.

January 9, 2008, 13:40, FASS 1103