Weighted Multiple Model Adaptive Control for a Category of Systems with Colored Noise

Authors
Yuzhen Zhang, Weicun Zhang, Qing Li
Corresponding Author
Yuzhen Zhang
Available Online 1 September 2017.
DOI
https://doi.org/10.2991/jrnal.2017.4.2.9
Keywords
discrete-time; colored noise; multiple model adaptive control; stability; convergence.
Abstract
The multiple model adaptive control (MMAC) of discrete-time stochastic system with colored noise is considered in this paper. Model set contains one adaptive identification and some fixed models. Based on the output errors of the models, a simple weighting algorithm is adopted with guaranteed convergence. The proofs of the stability and convergence of system are presented. Besides, the influence of initial value of adaptive model on system performance is described. Finally, computer simulation results can verify the theoretical results.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
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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