Integral Manifolds of Slow Adaptation (Adaptive Control, Method of Averaging)
Riedle, Bradley Dean
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69348
Description
Title
Integral Manifolds of Slow Adaptation (Adaptive Control, Method of Averaging)
Author(s)
Riedle, Bradley Dean
Issue Date
1986
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Abstract
A three-step procedure for the analysis of slowly adapting systems is presented. First, conditions are given for the existence of an integral manifold upon which the slow adaptation occurs in either continuous or discrete time. Second, conditions are derived under which this integral manifold is exponentially attractive. Third, the behavior on the manifold is analyzed via the method of averaging. In the process of developing the discrete-time part of these results, the relationship between the method of averaging for deterministic signals and the ordinary differential equation approach to the study of stochastic adaptive systems is clarified.
This three-step procedure for analysis is then used as a design tool. First, a model reference adaptive control scheme which allows a reduced number of adjustable parameters is presented and analyzed via the three-step procedure. The scheme allows considerable flexibility in the controller parametrization. Taking advantage of this flexibility requires the use of a priori information about the plant to be controlled. Hence, the scheme provides a mechanism for using information available before the commissioning of a control system to reduce the number of adjustable controller parameters. The ideas involved in the design of this model reference adaptive control scheme are then generalized to provide guidelines for the design of slowly adapting systems. An example then illustrates the use of these guidelines to upgrade an existing fixed parameter controller to a slowly adapting one.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
