Adaptive H-infinity Synthesis for Linear Systems with Uncertain Parameters
(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:
https://lup.lub.lu.se/record/340f02ae-cd50-43ac-94d7-af21a836b577
- author
- Orlov, Yury LU ; Rantzer, Anders LU and Aguilar, Luis T.
- organization
- publishing date
- 2019
- 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}}, }