Volume 4, Issue 2, September 2017, Pages 146 - 149
Weighted Multiple Model Adaptive Control for a Category of Systems with Colored Noise
Yuzhen Zhang, Weicun Zhang, Qing Li
Available Online 1 September 2017.
- https://doi.org/10.2991/jrnal.2017.4.2.9How to use a DOI?
- discrete-time; colored noise; multiple model adaptive control; stability; convergence.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Yuzhen Zhang AU - Weicun Zhang AU - Qing Li PY - 2017 DA - 2017/09/01 TI - Weighted Multiple Model Adaptive Control for a Category of Systems with Colored Noise JO - Journal of Robotics, Networking and Artificial Life SP - 146 EP - 149 VL - 4 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2017.4.2.9 DO - https://doi.org/10.2991/jrnal.2017.4.2.9 ID - Zhang2017 ER -