Adaptive control of a linear system with quantized state observations

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Kaliyeva, Aray

Contributors dc:contributor

• Raginsky, Maxim

• Adaptive Control
• one-step-ahead control
• quantization
• dithering

Statement dc:rights

• Copyright 2014 Aray Kaliyeva

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/49489

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/49489