| Title: | OS13-4 Weighted Multiple Model Adaptive Control for a Category of Systems with Colored Noise |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 396-399 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS13-4 |
| Author(s): | Yuzhen Zhang, Qing Li, Weicun Zhang |
| Publication Date: | January 19, 2017 |
| 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. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS13/OS13-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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