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University of Illinois at Urbana-Champaign
Stochastic adaptive system theory for identification, filtering, prediction and control
Abstract
dc:descriptionThis thesis examines the basic asymptotic properties of various stochastic adaptive systems for identification, filtering, prediction and control. These include the convergence of long-term averages of signals of interest (self-optimality), the convergence of adaptive filters or controllers (self-tuning property), the convergence of parameter estimates, and the rates of convergence.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ren, Wei
- Contributors dc:contributor
-
- Kumar, P.R.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- Copyright 1991 Ren, Wei
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9210965
(UMI)AAI9210965 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/20779