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Title:Nonlinear Filtering: Dimensional Reduction and Particle Methods
Author(s):Park, Jun Hyun
Doctoral Committee Chair(s):Namachchivaya, N. Sri
Department / Program:Aerospace Engineering
Discipline:Aerospace Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Applied Mathematics
Abstract:Our result is applied to the electric power system whose daily operations must be guarded against failures due to natural disasters, rogue attacks and other unexpected conditions. One of the central challenges in current power system operations is to develop a better estimation scheme which is able to combine large dimensional systems with large volumes of data within a given response time that meets operational demands for health monitoring. We show that our scheme can be effectively used for this significant and challenging problem by providing a near real-time condition assessment for "extreme events".
Issue Date:2009
Type:Text
Language:English
Description:124 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
URI:http://hdl.handle.net/2142/85118
Other Identifier(s):(MiAaPQ)AAI3392429
Date Available in IDEALS:2015-09-25
Date Deposited:2009


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