Adaptive control of a linear system with quantized state observations
Kaliyeva, Aray
Loading…
Permalink
https://hdl.handle.net/2142/49489
Description
Title
Adaptive control of a linear system with quantized state observations
Author(s)
Kaliyeva, Aray
Issue Date
2014-05-30T16:46:44Z
Director of Research (if dissertation) or Advisor (if thesis)
Raginsky, Maxim
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Adaptive Control
one-step-ahead control
quantization
dithering
Abstract
The thesis addresses a problem in networked control systems where quantization is a communication constraint. Control design together with parameter estimation algorithms lead to adaptive control techniques. A first order system with unknown parameters is estimated via projection algorithm recursively. Furthermore, a one-step-ahead control law is applied to regulate the output. In the second part of the thesis, the system with quantization is simplified to a system with white noise disturbance by applying a dithering method. It is shown that system with quantization error can be controlled with the same one-step-ahead control law and projection algorithm.
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.
