Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Adaptive H-infinity Synthesis for Linear Systems with Uncertain Parameters

Orlov, Yury LU ; Rantzer, Anders LU orcid and Aguilar, Luis T. (2019) 57th IEEE Conference on Decision and Control p.5512-5517
Abstract
A performance-based approach is developed for adaptive robust control of linear systems with uncertain parameters. The dual control objective involves the disturbance attenuation and worst case identification of the unknown parameters. The proposed synthesis procedure relies on sufficient conditions, given in terms of suitable solutions of perturbed differential Riccati equations to exist. Although being reminiscent from the standard H-infinity synthesis, the resulting Riccati equations are to be updated on-line with estimated values of the unknown plant parameters. Capabilities of the proposed synthesis are illustrated by simulations made for a scalar linear system with unknown parameters
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE Conference on Decision and Control (CDC)
pages
5512 - 5517
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
57th IEEE Conference on Decision and Control
conference location
Miami Beach, United States
conference dates
2018-12-17 - 2018-12-19
external identifiers
  • scopus:85062181469
ISBN
978-1-5386-1395-5
DOI
10.1109/CDC.2018.8619125
project
LCCC
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
language
English
LU publication?
yes
id
340f02ae-cd50-43ac-94d7-af21a836b577
date added to LUP
2019-02-01 16:23:14
date last changed
2023-09-08 17:28:30
@inproceedings{340f02ae-cd50-43ac-94d7-af21a836b577,
  abstract     = {{A performance-based approach is developed for adaptive robust control of linear systems with uncertain parameters. The dual control objective involves the disturbance attenuation and worst case identification of the unknown parameters. The proposed synthesis procedure relies on sufficient conditions, given in terms of suitable solutions of perturbed differential Riccati equations to exist. Although being reminiscent from the standard H-infinity synthesis, the resulting Riccati equations are to be updated on-line with estimated values of the unknown plant parameters. Capabilities of the proposed synthesis are illustrated by simulations made for a scalar linear system with unknown parameters}},
  author       = {{Orlov, Yury and Rantzer, Anders and Aguilar, Luis T.}},
  booktitle    = {{2018 IEEE Conference on Decision and Control (CDC)}},
  isbn         = {{978-1-5386-1395-5}},
  language     = {{eng}},
  pages        = {{5512--5517}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Adaptive H-infinity Synthesis for Linear Systems with Uncertain Parameters}},
  url          = {{http://dx.doi.org/10.1109/CDC.2018.8619125}},
  doi          = {{10.1109/CDC.2018.8619125}},
  year         = {{2019}},
}