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Multi-controller adaptive control (M...

Paul, Ayanendu.

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Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications./
Author:	Paul, Ayanendu.
Description:	89 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6175.
Contained By:	Dissertation Abstracts International66-11B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196873
ISBN:	9780542427473

Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications.
Paul, Ayanendu.

Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications. - 89 p.

Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6175.

Thesis (Ph.D.)--University of Southern California, 2005.

In the last two decades, the idea of switching based adaptive control system has gained popularity among control system community. The need for switching based control arises when, with inaccurate assumptions about the unknown and possibly time varying plant, it is difficult to synthesize a single robustly stabilizing controller which would give satisfactory performance under all possible operating environments.

ISBN: 9780542427473Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications.
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020 $a 9780542427473
035 $a (UnM)AAI3196873
035 $a AAI3196873
040 $a UnM $c UnM
100 1 $a Paul, Ayanendu. $3 1911319
245 1 0 $a Multi-controller adaptive control (MCAC): Cost detectability, stability and some applications.
300 $a 89 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6175.
500 $a Adviser: Michael G. Safonov.
502 $a Thesis (Ph.D.)--University of Southern California, 2005.
520 $a In the last two decades, the idea of switching based adaptive control system has gained popularity among control system community. The need for switching based control arises when, with inaccurate assumptions about the unknown and possibly time varying plant, it is difficult to synthesize a single robustly stabilizing controller which would give satisfactory performance under all possible operating environments.
520 $a This thesis deals with the use of Multi-Controller Adaptive Control (MCAC) based switching control for imprecisely modeled plants. Here, the potential performance of every candidate controller is evaluated at each time directly from the measured data using some suitably defined, data driven performance index, without trying to estimate or identify the actual process. In this thesis, necessary conditions for cost detectability of the performance index have been developed. Several applications of Multi-Controller Adaptive Control (MCAC) have also been considered in this thesis. The MCAC switching scheme has been successfully applied to the Model Reference Adaptive Control (MRAC) problem. The problem of transmitting optimal power by mobile users in a wireless network has also been studied and an algorithm, employing MCAC technique, has been developed. The proposed algorithm provides an adaptive technique to tune the gains of a PID---type controller and can adapt to different number of mobile users by employing different candidate gains. This line of research provides a step towards applying adaptive feedback control systems for transmitting power by a mobile user in a dynamic wireless environment.
590 $a School code: 0208.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 66-11B.
790 1 0 $a Safonov, Michael G., $e advisor
790 $a 0208
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196873