Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Robust Adaptive Control System Research

Authors
Gangyuan Mao, Yingxian Yang
Corresponding Author
Gangyuan Mao
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.82How to use a DOI?
Keywords
Adaptive Control; Robustness Duality; Generalized Predictive Control
Abstract

Because based on linear model, order and delay the known statistical rule, noise and other known some strict mathematical constraints (referred to as the "ideal") and design of adaptive control system under the complex outside disturbance of unmodeled dynamic characteristics and is often a lack of robustness, therefore since the 80 s study of robust adaptive control has received the widespread attention. This paper analyzes the traditional adaptive control system for lack of robustness and adaptive control system are reviewed in this paper the methods and research results of robustness, including algorithm is modified and the robust optimization and nonlinear adaptive control system design.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.82How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gangyuan Mao
AU  - Yingxian Yang
PY  - 2016/02
DA  - 2016/02
TI  - Robust Adaptive Control System Research
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 429
EP  - 433
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.82
DO  - 10.2991/iccsae-15.2016.82
ID  - Mao2016/02
ER  -