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University of Illinois at Urbana-Champaign
Nonlinear Filtering: Dimensional Reduction and Particle Methods
Abstract
dc:description"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""."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Aerospace Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Park, Jun Hyun
- Contributors dc:contributor
-
- Namachchivaya, N. Sri
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3392429
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/85118