Journal of Robotics, Networking and Artificial Life

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Volume 1, Issue 4, March 2015, Pages 291 - 294

Weighted Multiple Model Adaptive Control of Time-varying Systems

Authors
Weicun Zhang, Qing Li
Corresponding Author
Weicun Zhang
Available Online 2 March 2015.
DOI
10.2991/jrnal.2015.1.4.8How to use a DOI?
Keywords
Stability, Convergence, Weighting algorithm, Multiple model adaptive control
Abstract

This paper is concerned with the weighted multiple model adaptive control (WMMAC) of stochastic plant with time-varying parameters, such as slowly time-varying plant or parameter jump plant. An improved weighting algorithm is proposed for this kind of control systems. The effectiveness (sharp and correct 0-1 convergence) of the weighting algorithm and the robust stability of the resulting closed-loop WMMAC system has been verified through many simulation results.

Copyright
© 2013, 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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<Previous Article In Issue
Next Article In Issue>
Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
1 - 4
Pages
291 - 294
Publication Date
2015/03/02
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2015.1.4.8How to use a DOI?
Copyright
© 2013, 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

risenwbib
TY  - JOUR
AU  - Weicun Zhang
AU  - Qing Li
PY  - 2015
DA  - 2015/03/02
TI  - Weighted Multiple Model Adaptive Control of Time-varying Systems
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 291
EP  - 294
VL  - 1
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.1.4.8
DO  - 10.2991/jrnal.2015.1.4.8
ID  - Zhang2015
ER  -