Adaptive Tracking of Non-linear Dynamic Plants, Using the U-model
(2006) In Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering 220(16). p.473-487- Abstract
- Adaptive tracking of non-linear dynamic plants is currently an important area of research. The main difficulty being felt by the research community is the lack of a general modelling framework that can facilitate synthesis of a simplistic control law while being capable of providing accurate approximation of non-linear systems. In this study a novel technique based on the control-oriented U-model is proposed for the adaptive tracking of a wide range of stable non-linear dynamic plants using only past data. The basic scheme is based on the robust internal model control (IMC) structure. An adaptive version of the U-model is introduced for the modelling of the plant, and a simplistic control law based on polynomial root-solving is... (More)
- Adaptive tracking of non-linear dynamic plants is currently an important area of research. The main difficulty being felt by the research community is the lack of a general modelling framework that can facilitate synthesis of a simplistic control law while being capable of providing accurate approximation of non-linear systems. In this study a novel technique based on the control-oriented U-model is proposed for the adaptive tracking of a wide range of stable non-linear dynamic plants using only past data. The basic scheme is based on the robust internal model control (IMC) structure. An adaptive version of the U-model is introduced for the modelling of the plant, and a simplistic control law based on polynomial root-solving is synthesized. The proposed scheme has a more general appeal than other adaptive schemes based on models such as the polynomial NARMAX (Non-linear AutoRegressive Moving Average with eXogenous inputs) model. Additionally, the control law is much simpler in nature. The effectiveness of the proposed adaptive scheme is demonstrated through simulations and real-time implementation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1232156
- author
- Butt, Naveed LU and Shafiq, Muhammad
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- adaptive non-linear control, U-model based control, internal model control, control-oriented adaptive models, SYSTEMS, IDENTIFICATION, CONTROLLER
- in
- Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
- volume
- 220
- issue
- 16
- pages
- 473 - 487
- publisher
- Professional Engineering Publishing
- external identifiers
-
- scopus:66549118224
- ISSN
- 0959-6518
- DOI
- 10.1243/09596518JSCE190
- language
- English
- LU publication?
- no
- id
- b6748aab-e874-457e-95b6-c5c03da8e4cb (old id 1232156)
- alternative location
- http://journals.pepublishing.com/content/f3j10q6559w0822p/?p=94e2118c319844e1b6ac0383cf6f62d6&pi=0
- date added to LUP
- 2016-04-01 17:10:58
- date last changed
- 2022-04-15 17:48:42
@article{b6748aab-e874-457e-95b6-c5c03da8e4cb,
abstract = {{Adaptive tracking of non-linear dynamic plants is currently an important area of research. The main difficulty being felt by the research community is the lack of a general modelling framework that can facilitate synthesis of a simplistic control law while being capable of providing accurate approximation of non-linear systems. In this study a novel technique based on the control-oriented U-model is proposed for the adaptive tracking of a wide range of stable non-linear dynamic plants using only past data. The basic scheme is based on the robust internal model control (IMC) structure. An adaptive version of the U-model is introduced for the modelling of the plant, and a simplistic control law based on polynomial root-solving is synthesized. The proposed scheme has a more general appeal than other adaptive schemes based on models such as the polynomial NARMAX (Non-linear AutoRegressive Moving Average with eXogenous inputs) model. Additionally, the control law is much simpler in nature. The effectiveness of the proposed adaptive scheme is demonstrated through simulations and real-time implementation.}},
author = {{Butt, Naveed and Shafiq, Muhammad}},
issn = {{0959-6518}},
keywords = {{adaptive non-linear control; U-model based control; internal model control; control-oriented adaptive models; SYSTEMS; IDENTIFICATION; CONTROLLER}},
language = {{eng}},
number = {{16}},
pages = {{473--487}},
publisher = {{Professional Engineering Publishing}},
series = {{Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering}},
title = {{Adaptive Tracking of Non-linear Dynamic Plants, Using the U-model}},
url = {{http://dx.doi.org/10.1243/09596518JSCE190}},
doi = {{10.1243/09596518JSCE190}},
volume = {{220}},
year = {{2006}},
}