Department of Mathematics, WUSTL - Talks List, Spring 2009

A list of lectures, seminars, colloquia, and other events hosted by
the Department of Mathematics at Washington University in St. Louis  

MAY 2009

Friday, May 1

Wavelet Seminar

Time: 3:30-4:30pm
Location: Cupples I, Room 199
Host: Prof. Guido Weiss

Speaker: Professor Guido Weiss
Department of Mathematics, Washington University in St. Louis
Title: Locally compact Abelian Groups and the Action of the Zac Transform
Abstract: This third lecture will extend the material of the previous lectures to the setting of Locally Compact Abelian groups.

Monday, May 18

Minor Oral

Time: 3:00-4:00pm
Location: Cupples I, Room 199
Host: Prof. Al Baernstein

Speaker: Jeffrey Langford
Department of Mathematics, Washington University in St. Louis
Title: The Isomorphism Problem from Ergodic Theory
Abstract: A classical problem in Ergodic theory is determining whether two measure preserving transformations are isomorphic or not (or conjugate or not).  In order to solve this problem, one often searches for invariants that remain unchanged under isomorphism.  We discuss the notions of isomorphism, conjugacy, and spectral isomorphism and focus on several important examples to illustrate the main ideas and shortcomings of certain invariants.

Tuesday, May 26

Wavelet Seminar

Time: 3:30-4:30pm
Location: Cupples I, Room 199
Host: Prof. Guido Weiss

Speaker: Professor Azita Mayeli
Department of Mathematics, Stony Brook University
Title: Shannon-type wavelet on the Heisenberg group
Abstract: Multiresolution Analysis (MRA) is a mathematical tool for the construction of orthonormal wavelet bases for $L^2(\RR^n)$.
Motivated by MRA in the Euclidean setting, in this talk I will present a notion and then a concrete example of a multiresolution analysis on the Heisenberg group $\HH$. For our example, in contrast to the usual approach on $\RR^n$, we start with construction of a sinc-type function using the group Fourier transform. As we will discuss, the sinc-type function implies the existence of a scaling function and hence a normalized tight wavelet frame for $L^2(\HH)$. We call the generator of this frame a Shannon-type wavelet on $\HH$.
Work in collaboration with Professor Currey, St. Louis University.

JUNE 2009

Tuesday, June 9

Colloquium

Time: Tea: 4:00-4:30pm
Talk: 4:30-5:30pm
Location: Cupples I, Room 199
Host: Prof. Victor Wickerhauser

Speaker: Professor Peter F. Odgaard
KK Electronic A/S, Denmark
Title: Mathematically Model Based Control of Modern Wind Turbines - from an Industrial Point of View
Abstract: Newly installed wind turbines of today are normally in the multi-megawatt range, with a blade diameter in the range from 80m to 110m. Consequently optimization of these turbines is of high interest, for a number of reasons and with different objectives. Some examples are: optimization of power production, minimization of cost price per energy unit, lifetime expansion, power quality, and reliability optimization. A model-based control strategy is an important path to take in achievement of these different objectives.
This talk will start with a short presentation of modern wind turbines and their control systems. The attention will subsequently be turned on to specific problems recently suggested solved by model based schemes. An adaptive scheme is suggested to adjust the power control to the wind turbine operational point to the actual aerodynamics of the wind turbine blades. The blade aerodynamics changes slowly with time mainly due to debris build-up on the blades. An unknown input observer is designed based on a model of the wind turbine to estimate the variation in actually aerodynamics compared with the assumed one. Based on this estimate, the aerodynamic model can be updated with an interval of a month. The optimal point of operation of the wind turbine can subsequently be found based on this updated model.
Fault detection and fault accommodation is at present handled in a simple and conservative way. Faults are directly detected based on the measurements, and are most often handled by a shutdown of the turbine and an unplanned service. This is costly both in lost production and the service itself, increasing the cost price per energy unit and lowering the reliability of the wind turbine. If model based methods are used, faults can be detected either faster or with less false positive detections. Secondly models can be used to design analytical redundancy such that the turbine can continue production at some level in a safe way. Some recently published results in detection of speed sensor faults and generator torque measurements are presented. In order to encourage the work on fault detection and accommodation on wind turbines, a benchmark model of this problem has been developed and will be introduced.

AUGUST 2009

Tuesday, August 4

Thesis Defense

Time: 10:00-12:00pm
Location: Cupples I, Room 199
Host: Profs. Guido Weiss and Edward Wilson

Speaker: Bob Houska
Department of Mathematics, Washington University in St. Louis
Title: Frames, Composite Wavelets, and Shearlets
Abstract: One-dimensional wavelet systems have enjoyed a great deal of success in applications. This success is due, in large part, to the plentiful existence of compactly supported and smooth one-dimensional scaling functions.
Traditional wavelet systems have been used quite successfully in higher-dimensional applications as well. However, the geometric structure present in dimensions two and higher is significantly more complex than that present in dimension one, and there are several important multi-dimensional applications for which traditional wavelet systems are too geometrically simplistic. In response to this deficiency, the more geometrically diverse composite wavelet systems were recently introduced by Guo, Labate, Weiss, and Wilson.
A particular type of composite wavelet system - the shearlet system - has been shown by the above mentioned authors to outperform traditional wavelet systems in several important multi-dimensional applications. Despite these positive results, however, shearlet systems have one major drawback - essentially no useful shearlet scaling functions exist. We will discuss several results of this variety.

SPRING 2010 Seminars Schedule

Thursday, April 22, 2010

Loeb Lecture

Time: Tea: 4:00-4:30pm
Talk: 4:30-5:30pm
Location: TBA
Host: Prof. Ronald Freiwald

Speaker: Professor Martin Golubitsky
Department of Mathematics, Ohio State University
Title: TBA

 

 

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Last Updated 06/11/09


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