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Adaptive stability augmentation

Wittenmark, Björn LU (1990) In Automatica 26(4). p.699-707
Abstract
Most adaptive controllers do not assume any a priori knowledge about the process to be controlled. In most situations there is, however, some knowledge about the process. This knowledge should be used to improve the performance compared to the “black box” approach of earlier adaptive controllers. The a priori knowledge is in this paper used in the estimation of the process and also in the design of the controller. The use in the design is new compared to earlier approaches. The a priori knowledge is used here to design a nominal controller. The unmodelled part of the process is estimated and an adaptive stability augmentation signal is added to the nominal controller. Different types of a priori knowledge and design methods are discussed... (More)
Most adaptive controllers do not assume any a priori knowledge about the process to be controlled. In most situations there is, however, some knowledge about the process. This knowledge should be used to improve the performance compared to the “black box” approach of earlier adaptive controllers. The a priori knowledge is in this paper used in the estimation of the process and also in the design of the controller. The use in the design is new compared to earlier approaches. The a priori knowledge is used here to design a nominal controller. The unmodelled part of the process is estimated and an adaptive stability augmentation signal is added to the nominal controller. Different types of a priori knowledge and design methods are discussed and the performances are investigated through analysis and simulation. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Adaptive control, a priori knowledge, model parameterization
in
Automatica
volume
26
issue
4
pages
699 - 707
publisher
Pergamon
external identifiers
  • Scopus:0025464840
ISSN
0005-1098
DOI
10.1016/0005-1098(90)90047-L
language
English
LU publication?
yes
id
b9fb7677-e3d3-416d-bd62-07326e6a12bc (old id 4813363)
date added to LUP
2014-11-29 21:09:34
date last changed
2016-04-16 11:51:58
@misc{b9fb7677-e3d3-416d-bd62-07326e6a12bc,
  abstract     = {Most adaptive controllers do not assume any a priori knowledge about the process to be controlled. In most situations there is, however, some knowledge about the process. This knowledge should be used to improve the performance compared to the “black box” approach of earlier adaptive controllers. The a priori knowledge is in this paper used in the estimation of the process and also in the design of the controller. The use in the design is new compared to earlier approaches. The a priori knowledge is used here to design a nominal controller. The unmodelled part of the process is estimated and an adaptive stability augmentation signal is added to the nominal controller. Different types of a priori knowledge and design methods are discussed and the performances are investigated through analysis and simulation.},
  author       = {Wittenmark, Björn},
  issn         = {0005-1098},
  keyword      = {Adaptive control,a priori knowledge,model parameterization},
  language     = {eng},
  number       = {4},
  pages        = {699--707},
  publisher    = {ARRAY(0x7a46f40)},
  series       = {Automatica},
  title        = {Adaptive stability augmentation},
  url          = {http://dx.doi.org/10.1016/0005-1098(90)90047-L},
  volume       = {26},
  year         = {1990},
}