2026-09-20T01:51:20Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/49489 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Raginsky, Maxim Kaliyeva, Aray 2014-05-30T16:46:44Z 2014-05-30T16:46:44Z 2014-05 2014-05-30T16:46:44Z 2014-05 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. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-04-16T14:00:18Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 1_Kaliyeva_Aray.tex: 63200 bytes, checksum: 10c0cca3f2f1b10c28216ac6fd50e9fc (MD5) Kaliyeva_Aray.pdf: 420337 bytes, checksum: 8abef2461e2b6ab97d621937ec662651 (MD5) Made available in DSpace on 2014-05-30T16:46:44Z (GMT). No. of bitstreams: 3 Aray_Kaliyeva.pdf: 420337 bytes, checksum: 8abef2461e2b6ab97d621937ec662651 (MD5) 1_Kaliyeva_Aray.tex: 63200 bytes, checksum: 10c0cca3f2f1b10c28216ac6fd50e9fc (MD5) license.txt: 4063 bytes, checksum: 9b1826d41f33cf85f5abc28c6181207a (MD5) http://hdl.handle.net/2142/49489 en Copyright 2014 Aray Kaliyeva Adaptive Control one-step-ahead control quantization dithering Adaptive control of a linear system with quantized state observations text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS